diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 485e5c746..039f10b0f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -86,9 +86,6 @@ repos: args: [] additional_dependencies: - pytket_qiskit - - qiskit_optimization - - qiskit_nature - - qiskit_finance - importlib_resources - pytest - types-setuptools diff --git a/docs/Parameter.rst b/docs/Parameter.rst index 73ab5d6e4..a670f21aa 100644 --- a/docs/Parameter.rst +++ b/docs/Parameter.rst @@ -48,26 +48,27 @@ Native Gate-Set Support So far, MQT Bench supports the following native gate-sets: +.. jupyter-execute:: + :hide-code: + + from mqt.bench.devices import get_available_native_gatesets + + for num, gateset in enumerate(get_available_native_gatesets()): + print(str(num + 1) + ":", gateset.gateset_name, ": ", gateset.gates) -#. IBMQ gate-set: *['rz', 'sx', 'x', 'cx', 'measure']* -#. Rigetti gate-set: *['rx', 'rz', 'cz', 'measure']* -#. IonQ gate-set: *['rxx', 'rz', 'ry', 'rx', 'measure']* -#. OQC gate-set: *['rz', 'sx', 'x', 'ecr', 'measure']* -#. Quantinuum gate-set: *['rzz', 'rz', 'ry', 'rx', 'measure']* Device Support -------------- So far, MQT Bench supports the following devices: +.. jupyter-execute:: + :hide-code: + + from mqt.bench.devices import get_available_devices -#. IBMQ Washington with 127 qubits -#. IBMQ Montreal with 27 qubits -#. Rigetti Aspen-M3 with 79 qubits -#. IonQ Harmony with 11 qubits -#. IonQ Aria 1 with 25 qubits -#. OQC Lucy with 8 qubits -#. Quantinuum H2 with 32 qubits + for num, device in enumerate(get_available_devices()): + print(str(num + 1) + ":", device.name, "with", device.num_qubits, "qubits") Examples how to use the ``get_benchmark`` method for all four abstraction levels can be found on the :doc:`Quickstart jupyter notebook `. diff --git a/docs/Quickstart.ipynb b/docs/Quickstart.ipynb index e7e89ed3a..75685ba14 100644 --- a/docs/Quickstart.ipynb +++ b/docs/Quickstart.ipynb @@ -15,7 +15,7 @@ "metadata": {}, "outputs": [], "source": [ - "from mqt.bench import CompilerSettings, QiskitSettings, TKETSettings, get_benchmark" + "from mqt.bench import CompilerSettings, QiskitSettings, get_benchmark" ] }, { @@ -78,7 +78,7 @@ " circuit_size=5,\n", " compiler=\"qiskit\",\n", " compiler_settings=compiler_settings,\n", - " provider_name=\"ionq\",\n", + " gateset=\"ionq\", # only used a custom gateset for this example, e.g., gateset=(\"custom_gateset\", [\"cx\", \"u\"])\n", ")\n", "qc_native_gates_level.draw(output=\"mpl\")" ] @@ -100,13 +100,11 @@ "source": [ "from pytket.extensions.qiskit import tk_to_qiskit\n", "\n", - "compiler_settings = CompilerSettings(tket=TKETSettings(placement=\"lineplacement\"))\n", "qc_mapped_level = get_benchmark(\n", " benchmark_name=\"dj\",\n", " level=\"mapped\",\n", " circuit_size=5,\n", " compiler=\"tket\",\n", - " compiler_settings=compiler_settings,\n", " device_name=\"ionq_harmony\",\n", ")\n", "tk_to_qiskit(qc_mapped_level).draw(output=\"mpl\")" diff --git a/docs/Usage.rst b/docs/Usage.rst index e8884bbf6..8d5521cc3 100644 --- a/docs/Usage.rst +++ b/docs/Usage.rst @@ -37,26 +37,6 @@ For example, in order to obtain the *5*\ -qubit Deutsch-Josza benchmark on algor Examples can be found in the `docs/Quickstart.ipynb `_ jupyter notebook. -Locally hosting the MQT Bench Viewer ------------------------------------- - -Additionally, this python package includes the same webserver used for the hosting of the -`MQT Bench webpage `_. - -After the ``mqt.bench`` Python package is installed via - -.. code-block:: console - - (venv) $ pip install mqt.bench - -the MQT Bench Viewer can be started from the terminal via - -.. code-block:: console - - (venv) $ mqt.bench - -This first searches for the most recent version of the benchmark files on GitHub and offers to download them. -Afterwards, the webserver is started locally. Usage directly via this repository ---------------------------------- diff --git a/docs/conf.py b/docs/conf.py index d940e00c9..d4d871f1f 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -58,6 +58,7 @@ "nbsphinx", "sphinxext.opengraph", "sphinx_autodoc_typehints", + "jupyter_sphinx", ] pygments_style = "colorful" @@ -73,7 +74,7 @@ "mqt": ("https://mqt.readthedocs.io/en/latest/", None), } -nbsphinx_execute = "auto" +nbsphinx_execute = "always" highlight_language = "python3" nbsphinx_execute_arguments = [ "--InlineBackend.figure_formats={'svg', 'pdf'}", diff --git a/evaluation/.python-version b/evaluation/.python-version deleted file mode 100644 index e4fba2183..000000000 --- a/evaluation/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.12 diff --git a/evaluation/pyproject.toml b/evaluation/pyproject.toml deleted file mode 100644 index 1450c7d30..000000000 --- a/evaluation/pyproject.toml +++ /dev/null @@ -1,37 +0,0 @@ -[build-system] -requires = ["setuptools>=66.1"] -build-backend = "setuptools.build_meta" - -[project] -name = "mqt-bench-evaluation" -version = "1.0.0" -description = "Evaluation Functionality for MQT Bench" -requires-python = ">=3.10" -dependencies = [ - "matplotlib>=3.9.2", - "mqt-bench", - "pandas>=2.2.3", - "seaborn>=0.13.2", -] - -[tool.pytest.ini_options] -minversion = "7.2" -testpaths = ["tests"] -addopts = ["-ra", "--strict-markers", "--strict-config", "--showlocals"] -log_cli_level = "INFO" -xfail_strict = true -filterwarnings = [ - "error", - 'ignore::DeprecationWarning:.*(docplex).*', - 'ignore::SyntaxWarning:.*(docplex).*', - 'ignore:.*qiskit.providers.models is deprecated since Qiskit 1.2*:DeprecationWarning:', - 'ignore:.*Treating CircuitInstruction as an iterable is deprecated legacy behavior since Qiskit 1.2*:DeprecationWarning:pytket.*', - 'ignore:.*qiskit.providers.models.* is deprecated since qiskit 1.2*:DeprecationWarning:qiskit.*', - 'ignore:.*qiskit.primitives.* is deprecated as of qiskit 1.2*:DeprecationWarning:qiskit.*', - 'ignore:.*The class ``qiskit.qobj.pulse_qobj.Pulse.*`` is deprecated as of qiskit 1.2.*:DeprecationWarning:qiskit.*', - 'ignore:.*The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2*:DeprecationWarning:mqt.*', - 'ignore:.*The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2*:DeprecationWarning:mqt.*', -] - -[tool.uv.sources] -mqt-bench = { path = "../" } diff --git a/evaluation/src/mqt/bench/evaluation/__init__.py b/evaluation/src/mqt/bench/evaluation/__init__.py deleted file mode 100644 index 894575f23..000000000 --- a/evaluation/src/mqt/bench/evaluation/__init__.py +++ /dev/null @@ -1,23 +0,0 @@ -"""MQT Bench. - -This file is part of the MQT Bench Benchmark library released under the MIT license. -See README.md or go to https://github.com/cda-tum/mqt-bench for more information. -""" - -from __future__ import annotations - -from mqt.bench.evaluation.evaluation import ( - EvaluationResult, - count_occurrences, - count_qubit_numbers_per_compiler, - create_statistics, - evaluate_qasm_file, -) - -__all__ = [ - "EvaluationResult", - "count_occurrences", - "count_qubit_numbers_per_compiler", - "create_statistics", - "evaluate_qasm_file", -] diff --git a/evaluation/src/mqt/bench/evaluation/evaluation.py b/evaluation/src/mqt/bench/evaluation/evaluation.py deleted file mode 100644 index 8746748fc..000000000 --- a/evaluation/src/mqt/bench/evaluation/evaluation.py +++ /dev/null @@ -1,73 +0,0 @@ -"""Evaluation of qasm files.""" - -from __future__ import annotations - -import pickle -from dataclasses import dataclass -from pathlib import Path - -from joblib import Parallel, delayed -from qiskit import QuantumCircuit - -from mqt.bench import utils - - -def create_statistics(source_directory: Path | None = None, target_directory: Path | None = None) -> None: - """Create statistics for the qasm files in the source_directory and save them in the target_directory.""" - if source_directory is None: - source_directory = Path(utils.get_default_qasm_output_path()) - if target_directory is None: - target_directory = Path(utils.get_default_evaluation_output_path()) - source_circuits_list = [file for file in source_directory.iterdir() if file.suffix == ".qasm"] - res_dicts = Parallel(n_jobs=-1, verbose=100)( - delayed(evaluate_qasm_file)(str(filename)) for filename in source_circuits_list - ) - with (target_directory / "evaluation_data.pkl").open("wb") as f: - pickle.dump(res_dicts, f) - - -@dataclass -class EvaluationResult: - """Data class for the evaluation results of a qasm file.""" - - filename: str - num_qubits: int - depth: int - num_gates: int - num_multiple_qubit_gates: int - supermarq_features: utils.SupermarqFeatures - - -def evaluate_qasm_file(filename: str) -> EvaluationResult | None: - """Evaluate a qasm file and return the results.""" - try: - qc = QuantumCircuit.from_qasm_file(filename) - except Exception as e: - print(f"Failed for {filename}: {e}") - return EvaluationResult( - filename=filename, - num_qubits=-1, - depth=-1, - num_gates=-1, - num_multiple_qubit_gates=-1, - supermarq_features=utils.SupermarqFeatures(-1, -1, -1, -1, -1), - ) - - return EvaluationResult( - filename=filename, - num_qubits=int(str(filename).split("_")[-1].split(".")[0]), - depth=qc.depth(), - num_gates=sum(qc.count_ops().values()), - num_multiple_qubit_gates=qc.num_nonlocal_gates(), - supermarq_features=utils.calc_supermarq_features(qc), - ) - - -def count_occurrences(filenames: list[str], search_str: str) -> int: - """Count the occurrences of a search string in a list of filenames.""" - return sum(search_str in filename for filename in filenames) - - -def count_qubit_numbers_per_compiler(filenames: list[str], compiler: str) -> list[int]: - """Count the number of qubits per compiler for a list of filenames.""" - return [int(str(filename).split("_")[-1].split(".")[0]) for filename in filenames if compiler in filename] diff --git a/evaluation/src/mqt/bench/evaluation/evaluation_data.pkl b/evaluation/src/mqt/bench/evaluation/evaluation_data.pkl deleted file mode 100644 index 8a81a91f4..000000000 Binary files a/evaluation/src/mqt/bench/evaluation/evaluation_data.pkl and /dev/null differ diff --git a/evaluation/src/mqt/bench/evaluation/evaluation_visualization.ipynb b/evaluation/src/mqt/bench/evaluation/evaluation_visualization.ipynb deleted file mode 100644 index 5216f62e0..000000000 --- a/evaluation/src/mqt/bench/evaluation/evaluation_visualization.ipynb +++ /dev/null @@ -1,272 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "2d493d7f", - "metadata": {}, - "outputs": [], - "source": [ - "import pickle\n", - "from pathlib import Path\n", - "\n", - "import matplotlib as mpl\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "\n", - "from mqt.bench.evaluation import evaluation\n", - "\n", - "font = {\"size\": 16}\n", - "mpl.rc(\"font\", **font)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "03f145b0", - "metadata": {}, - "outputs": [], - "source": [ - "evaluation.create_statistics()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "062813f4", - "metadata": {}, - "outputs": [], - "source": [ - "with Path(\"evaluation_data.pkl\").open(\"rb\") as f:\n", - " eval_data = pickle.load(f)\n", - "df = pd.DataFrame(eval_data)\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4b5d8948", - "metadata": {}, - "outputs": [], - "source": [ - "df = df.join(pd.json_normalize(df[\"supermarq_features\"])).drop(\"supermarq_features\", axis=\"columns\")\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "46bcd90a", - "metadata": {}, - "outputs": [], - "source": [ - "benchmarks = df[\"filename\"].values\n", - "num_qubits = df[\"num_qubits\"].values\n", - "depth = df[\"depth\"].values\n", - "num_gates = df[\"num_gates\"].values\n", - "num_multiple_qubit_gates = df[\"num_multiple_qubit_gates\"].values\n", - "program_communication = df[\"program_communication\"].values\n", - "critical_depth = df[\"critical_depth\"].values\n", - "entanglement_ratio = df[\"entanglement_ratio\"].values\n", - "parallelism = df[\"parallelism\"].values\n", - "liveness = df[\"liveness\"].values\n", - "perc_multi = num_multiple_qubit_gates / num_gates" - ] - }, - { - "cell_type": "markdown", - "id": "0cde4a8b", - "metadata": {}, - "source": [ - "# Device Distribution" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "588b8449", - "metadata": {}, - "outputs": [], - "source": [ - "overall_count_mapped = evaluation.count_occurrences(benchmarks, \"mapped\")\n", - "mapped_ibm_montreal_count = evaluation.count_occurrences(benchmarks, \"mapped_ibm_montreal\")\n", - "mapped_ibm_washington_count = evaluation.count_occurrences(benchmarks, \"mapped_ibm_washington\")\n", - "mapped_oqc_lucy_count = evaluation.count_occurrences(benchmarks, \"mapped_oqc_lucy\")\n", - "mapped_rigetti_count = evaluation.count_occurrences(benchmarks, \"mapped_rigetti\")\n", - "mapped_quantinuum_count = evaluation.count_occurrences(benchmarks, \"mapped_quantinuum\")\n", - "mapped_ionq_aria1_count = evaluation.count_occurrences(benchmarks, \"mapped_ionq_aria1\")\n", - "mapped_ionq_harmony_count = evaluation.count_occurrences(benchmarks, \"mapped_ionq_harmony\")\n", - "\n", - "qiskit_qubit_numbers = evaluation.count_qubit_numbers_per_compiler(benchmarks, \"qiskit\")\n", - "tket_qubit_numbers = evaluation.count_qubit_numbers_per_compiler(benchmarks, \"tket\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3bfc2767", - "metadata": {}, - "outputs": [], - "source": [ - "perc_montreal = mapped_ibm_montreal_count / overall_count_mapped\n", - "perc_washington = mapped_ibm_washington_count / overall_count_mapped\n", - "perc_oqc = mapped_oqc_lucy_count / overall_count_mapped\n", - "perc_rigetti = mapped_rigetti_count / overall_count_mapped\n", - "perc_quantinuum = mapped_quantinuum_count / overall_count_mapped\n", - "perc_ionq_aria1 = mapped_ionq_aria1_count / overall_count_mapped\n", - "perc_ionq_harmony = mapped_ionq_harmony_count / overall_count_mapped" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "089acc25", - "metadata": {}, - "outputs": [], - "source": [ - "font = {\"size\": 12}\n", - "mpl.rc(\"font\", **font)\n", - "data = [\n", - " perc_washington,\n", - " perc_rigetti,\n", - " perc_quantinuum,\n", - " perc_montreal,\n", - " perc_ionq_aria1,\n", - " perc_ionq_harmony,\n", - " perc_oqc,\n", - "]\n", - "colors = [\"#B7E6A5\", \"#7CCBA2\", \"#46AEA0\", \"#089099\", \"#02818B\", \"#026688\", \"#025582\"]\n", - "labels = [\n", - " \"IBMQ Washington (127)\",\n", - " \"Rigetti Aspen M3 (79)\",\n", - " \"Quantinuum H2 (32)\",\n", - " \"IBMQ Montreal (27)\",\n", - " \"IonQ Aria 1 (25)\",\n", - " \"IonQ Harmony (11)\",\n", - " \"OQC Lucy (8)\",\n", - "]\n", - "pies = plt.pie(data, labels=labels, autopct=\"%1.1f%%\", colors=colors)\n", - "for pie in pies[0]:\n", - " pie.set_alpha(0.7)\n", - "plt.savefig(\"results/pie.pdf\", format=\"pdf\", bbox_inches=\"tight\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "1fc0ca44", - "metadata": {}, - "source": [ - "# Num Qubits" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fd1cc85d", - "metadata": {}, - "outputs": [], - "source": [ - "font = {\"size\": 16}\n", - "mpl.rc(\"font\", **font)\n", - "qiskit_qubit_numbers = evaluation.count_qubit_numbers_per_compiler(benchmarks, \"qiskit\")\n", - "tket_qubit_numbers = evaluation.count_qubit_numbers_per_compiler(benchmarks, \"tket\")\n", - "\n", - "# colors = ['#7CCBA2', '#46AEA0', '#089099', \"#00718B\", \"#045275\", \"#003147\"]\n", - "# colors = ['#089099', '#003147']\n", - "plt.figure(figsize=(8, 5))\n", - "plot = sns.histplot(\n", - " data=[tket_qubit_numbers, qiskit_qubit_numbers],\n", - " bins=129,\n", - " stat=\"density\",\n", - " alpha=0.3,\n", - " kde=True,\n", - " edgecolor=\"white\",\n", - " linewidth=0.5,\n", - " palette=sns.color_palette(\"viridis\", 2)[::-1],\n", - ")\n", - "plt.legend([\"Qiskit\", \"TKET\"])\n", - "plt.ylabel(\"Relative Frequency\")\n", - "plt.xlabel(\"Number of Qubits\")\n", - "plt.savefig(\"results/qubit_dist.pdf\", format=\"pdf\", bbox_inches=\"tight\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "ed8581be", - "metadata": {}, - "source": [ - "# Further Characteristics" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2f71d39c", - "metadata": {}, - "outputs": [], - "source": [ - "datasets = [\n", - " program_communication.astype(float),\n", - " critical_depth.astype(float),\n", - " entanglement_ratio.astype(float),\n", - " liveness.astype(float),\n", - " parallelism.astype(float),\n", - " perc_multi.astype(float),\n", - "]\n", - "labels = [\n", - " \"Program Communication\",\n", - " \"Critical Depth\",\n", - " \"Entanglement Ratio\",\n", - " \"Liveness\",\n", - " \"Parallelism\",\n", - " \"Percentage \\nMulti-Qubit Gates\",\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "54ac24f3", - "metadata": {}, - "outputs": [], - "source": [ - "fig = plt.figure(figsize=(19, 4))\n", - "ax = fig.add_subplot(111)\n", - "colors = [\"#7CCBA2\", \"#46AEA0\", \"#089099\", \"#00718B\", \"#045275\", \"#003147\"]\n", - "pos = range(len(datasets))\n", - "plots = plt.violinplot(datasets, pos)\n", - "for pc, color in zip(plots[\"bodies\"], colors, strict=False):\n", - " pc.set_facecolor(color)\n", - "\n", - "ax.set_xticks(pos)\n", - "plt.xticks(rotation=0)\n", - "ax.set_xticklabels(labels)\n", - "plt.savefig(\"results/violins.pdf\", format=\"pdf\", bbox_inches=\"tight\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/evaluation/src/mqt/bench/evaluation/py.typed b/evaluation/src/mqt/bench/evaluation/py.typed deleted file mode 100644 index 5f3ea3d91..000000000 --- a/evaluation/src/mqt/bench/evaluation/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Instruct type checkers to look for inline type annotations in this package. -# See PEP 561. diff --git a/evaluation/src/mqt/bench/evaluation/results/pie.pdf b/evaluation/src/mqt/bench/evaluation/results/pie.pdf deleted file mode 100644 index 1e29c5cef..000000000 Binary files a/evaluation/src/mqt/bench/evaluation/results/pie.pdf and /dev/null differ diff --git a/evaluation/src/mqt/bench/evaluation/results/qubit_dist.pdf b/evaluation/src/mqt/bench/evaluation/results/qubit_dist.pdf deleted file mode 100644 index e00ff9eba..000000000 Binary files a/evaluation/src/mqt/bench/evaluation/results/qubit_dist.pdf and /dev/null differ diff --git a/evaluation/src/mqt/bench/evaluation/results/violins.pdf b/evaluation/src/mqt/bench/evaluation/results/violins.pdf deleted file mode 100644 index 0c0a1bbd0..000000000 Binary files a/evaluation/src/mqt/bench/evaluation/results/violins.pdf and /dev/null differ diff --git a/evaluation/tests/test_evaluation.py b/evaluation/tests/test_evaluation.py deleted file mode 100644 index d79641f1d..000000000 --- a/evaluation/tests/test_evaluation.py +++ /dev/null @@ -1,143 +0,0 @@ -"""Tests for the benchmark evaluation.""" - -from __future__ import annotations - -import json -import pickle -from pathlib import Path - -import pytest -from qiskit.qasm2 import dump - -from mqt.bench import utils -from mqt.bench.benchmark_generator import BenchmarkGenerator, get_benchmark -from mqt.bench.evaluation import ( - EvaluationResult, - count_occurrences, - count_qubit_numbers_per_compiler, - create_statistics, - evaluate_qasm_file, -) - - -@pytest.fixture -def output_path() -> str: - """Fixture to create the output path for the tests.""" - output_path = Path("./tests/test_output/") - output_path.mkdir(parents=True, exist_ok=True) - return str(output_path) - - -@pytest.fixture -def sample_filenames() -> list[str]: - """Fixture to return a list of sample filenames.""" - return [ - "ae_indep_qiskit_10.qasm", - "ghz_nativegates_rigetti_qiskit_opt3_54.qasm", - "ae_indep_tket_93.qasm", - "wstate_nativegates_rigetti_qiskit_opt0_79.qasm", - "ae_mapped_ibm_montreal_qiskit_opt1_9.qasm", - "ae_mapped_ibm_washington_qiskit_opt0_38.qasm", - "ae_mapped_oqc_lucy_qiskit_opt0_5.qasm", - "ae_mapped_ibm_washington_qiskit_opt2_88.qasm", - "qnn_mapped_ionq_harmony_qiskit_opt3_3.qasm", - "qnn_mapped_oqc_lucy_tket_line_2.qasm", - "qaoa_mapped_quantinuum_h2_tket_graph_2.qasm", - "dj_mapped_quantinuum_h2_qiskit_opt3_23.qasm", - ] - - -def test_get_default_evaluation_output_path() -> None: - """Test the default evaluation output path.""" - path = utils.get_default_evaluation_output_path() - assert Path(path).exists() - - -def test_create_benchmarks_from_config_and_evaluation(output_path: str) -> None: - """Test the creation of benchmarks from a configuration file and the evaluation of the created benchmarks.""" - config = { - "timeout": 1, - "benchmarks": [ - { - "name": "ghz", - "include": True, - "min_qubits": 20, - "max_qubits": 21, - "stepsize": 1, - "precheck_possible": True, - }, - { - "name": "graphstate", - "include": True, - "min_qubits": 20, - "max_qubits": 21, - "stepsize": 1, - "precheck_possible": True, - }, - ], - } - file = Path("test_config.json") - with file.open("w") as f: - json.dump(config, f) - - generator = BenchmarkGenerator(cfg_path=str(file), qasm_output_path=output_path) - generator.create_benchmarks_from_config(num_jobs=-1) - file.unlink() - - create_statistics(source_directory=Path(output_path), target_directory=Path(output_path)) - - with (Path(output_path) / "evaluation_data.pkl").open("rb") as f: - res_dicts = pickle.load(f) - assert len(res_dicts) > 0 - - -def test_evaluate_qasm_file() -> None: - """Test the evaluation of a qasm file.""" - qc = get_benchmark("dj", 1, 5) - filename = "test_5.qasm" - with Path(filename).open("w", encoding="locale") as f: - dump(qc, f) - path = Path(filename) - res = evaluate_qasm_file(filename) - assert type(res) is EvaluationResult - path.unlink() - - res = evaluate_qasm_file("invalid_path.qasm") - assert type(res) is EvaluationResult - assert res.num_qubits == -1 - assert res.depth == -1 - assert res.num_gates == -1 - assert res.num_multiple_qubit_gates == -1 - assert res.supermarq_features == utils.SupermarqFeatures(-1.0, -1.0, -1.0, -1.0, -1.0) - 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-[project] -name = "mqt-bench-viewer" -version = "1.0.0" -description = "Frontend for MQT Bench" -requires-python = ">=3.10" -dependencies = [ - "flask>=3.0.3", - "mqt-bench", - "packaging>=24.1", - "pandas>=2.2.3", - "tqdm>=4.66.5", -] - -[project.scripts] -"mqt.bench.viewer" = "mqt.bench.viewer.main:start_server" - - -[tool.setuptools.package-data] -"mqt.bench.viewer" = ["static/**/*", "templates/*"] - - -[tool.pytest.ini_options] -minversion = "7.2" -testpaths = ["tests"] -addopts = ["-ra", "--strict-markers", "--strict-config", "--showlocals"] -log_cli_level = "INFO" -xfail_strict = true -filterwarnings = [ - "error", - 'ignore:.*qiskit.providers.models is deprecated since Qiskit 1.2*:DeprecationWarning:', - 'ignore:.*Treating CircuitInstruction as an iterable is deprecated legacy behavior since Qiskit 1.2*:DeprecationWarning:pytket.*', - 'ignore:.*qiskit.providers.models.* is deprecated since qiskit 1.2*:DeprecationWarning:qiskit.*', - 'ignore:.*qiskit.primitives.* is deprecated as of qiskit 1.2*:DeprecationWarning:qiskit.*', - 'ignore:.*The class ``qiskit.qobj.pulse_qobj.Pulse.*`` is deprecated as of qiskit 1.2.*:DeprecationWarning:qiskit.*', - 'ignore:.*The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2*:DeprecationWarning:mqt.*', - 'ignore:.*The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2*:DeprecationWarning:mqt.*', -] - -[tool.uv.sources] -mqt-bench = { path = "../" } diff --git a/frontend/src/mqt/bench/viewer/__init__.py b/frontend/src/mqt/bench/viewer/__init__.py deleted file mode 100644 index cfd2d4cc4..000000000 --- a/frontend/src/mqt/bench/viewer/__init__.py +++ /dev/null @@ -1,12 +0,0 @@ -"""MQT Bench Viewer. - -This file is part of the MQT Bench Benchmark library released under the MIT license. -See README.md or go to https://github.com/cda-tum/mqt-bench for more information. -""" - -from __future__ import annotations - -from mqt.bench.viewer.backend import Backend, BenchmarkConfiguration -from mqt.bench.viewer.main import Server, start_server - -__all__ = ["Backend", "BenchmarkConfiguration", "Server", "start_server"] diff --git a/frontend/src/mqt/bench/viewer/backend.py b/frontend/src/mqt/bench/viewer/backend.py deleted file mode 100644 index cd8805b82..000000000 --- a/frontend/src/mqt/bench/viewer/backend.py +++ /dev/null @@ -1,709 +0,0 @@ -"""This module contains the backend of the mqt.bench.viewer application.""" - -from __future__ import annotations - -import io -import os -import re -from dataclasses import dataclass -from importlib import metadata -from pathlib import Path -from typing import TYPE_CHECKING, cast -from zipfile import ZIP_DEFLATED, ZipFile - -import pandas as pd -import requests -from packaging import version -from tqdm import tqdm - -if TYPE_CHECKING: # pragma: no cover - from collections.abc import Iterable - - -@dataclass -class BenchmarkConfiguration: - """Class to store the user's filter criteria.""" - - min_qubits: int - max_qubits: int - indices_benchmarks: list[int] - indep_qiskit_compiler: bool - indep_tket_compiler: bool - nativegates_qiskit_compiler: bool - nativegates_tket_compiler: bool - mapped_qiskit_compiler: bool - mapped_tket_compiler: bool - native_qiskit_opt_lvls: list[int] | None = None - native_gatesets: list[str] | None = None - mapped_qiskit_opt_lvls: list[int] | None = None - mapped_tket_placements: list[str] | None = None - mapped_devices: list[str] | None = None - - -@dataclass -class ParsedBenchmarkName: - """Class to store the parsed data from a benchmark filename.""" - - benchmark: str - num_qubits: int - indep_flag: bool - nativegates_flag: bool - mapped_flag: bool - compiler: str | int - compiler_settings: str | int | None - gate_set: str | None - target_device: str | None - filename: str - - -class Backend: - """Class to manage the backend of the viewer.""" - - def __init__(self) -> None: - """Initializes the backend.""" - self.benchmarks = [ - {"name": "Amplitude Estimation (AE)", "id": "1", "filename": "ae"}, - {"name": "Deutsch-Jozsa", "id": "2", "filename": "dj"}, - {"name": "Graph State", "id": "3", "filename": "graphstate"}, - {"name": "GHZ State", "id": "4", "filename": "ghz"}, - { - "name": "Grover's (no ancilla)", - "id": "5", - "filename": "grover-noancilla", - }, - {"name": "Grover's (v-chain)", "id": "6", "filename": "grover-v-chain"}, - { - "name": "Portfolio Optimization with QAOA", - "id": "7", - "filename": "portfolioqaoa", - }, - { - "name": "Portfolio Optimization with VQE", - "id": "8", - "filename": "portfoliovqe", - }, - { - "name": "Quantum Approximation Optimization Algorithm (QAOA)", - "id": "9", - "filename": "qaoa", - }, - { - "name": "Quantum Fourier Transformation (QFT)", - "id": "10", - "filename": "qft", - }, - {"name": "QFT Entangled", "id": "11", "filename": "qftentangled"}, - {"name": "Quantum Neural Network (QNN)", "id": "12", "filename": "qnn"}, - { - "name": "Quantum Phase Estimation (QPE) exact", - "id": "13", - "filename": "qpeexact", - }, - { - "name": "Quantum Phase Estimation (QPE) inexact", - "id": "14", - "filename": "qpeinexact", - }, - { - "name": "Quantum Walk (no ancilla)", - "id": "15", - "filename": "qwalk-noancilla", - }, - {"name": "Quantum Walk (v-chain)", "id": "16", "filename": "qwalk-v-chain"}, - {"name": "Random Circuit", "id": "17", "filename": "random"}, - { - "name": "Variational Quantum Eigensolver (VQE)", - "id": "18", - "filename": "vqe", - }, - { - "name": "Efficient SU2 ansatz with Random Parameters", - "id": "19", - "filename": "su2random", - }, - { - "name": "Real Amplitudes ansatz with Random Parameters", - "id": "20", - "filename": "realamprandom", - }, - { - "name": "Two Local ansatz with Random Parameters", - "id": "21", - "filename": "twolocalrandom", - }, - {"name": "W-State", "id": "22", "filename": "wstate"}, - ] - - self.nonscalable_benchmarks = [ - {"name": "Ground State", "id": "23", "filename": "groundstate"}, - {"name": "Pricing Call Option", "id": "24", "filename": "pricingcall"}, - {"name": "Pricing Put Option", "id": "25", "filename": "pricingput"}, - {"name": "Routing", "id": "26", "filename": "routing"}, - {"name": "Shor's", "id": "27", "filename": "shor"}, - {"name": "Travelling Salesman", "id": "28", "filename": "tsp"}, - ] - - self.database: pd.DataFrame | None = None - self.mqtbench_all_zip: ZipFile | None = None - - def filter_database(self, benchmark_config: BenchmarkConfiguration) -> list[str]: - """Filters the database according to the filter criteria. - - Arguments: - benchmark_config: user's filter criteria - - Returns: - list of all file paths of the selected benchmark files - """ - colnames = list(ParsedBenchmarkName.__annotations__.keys()) - db_filtered = pd.DataFrame(columns=colnames) - db_filtered["indep_flag"] = db_filtered["indep_flag"].astype(bool) - db_filtered["nativegates_flag"] = db_filtered["nativegates_flag"].astype(bool) - db_filtered["mapped_flag"] = db_filtered["mapped_flag"].astype(bool) - if self.database is None or self.database.empty: - return [] - - selected_scalable_benchmarks = [] - selected_nonscalable_benchmarks = [] - - for identifier in benchmark_config.indices_benchmarks: - if 0 < identifier <= len(self.benchmarks): - name = self.benchmarks[identifier - 1]["filename"] - selected_scalable_benchmarks.append(name) - - elif 0 < identifier <= len(self.benchmarks) + len(self.nonscalable_benchmarks): - name = self.nonscalable_benchmarks[identifier - 1 - len(self.benchmarks)]["filename"] - selected_nonscalable_benchmarks.append(name) - - db_tmp = self.database.loc[ - ( - (self.database["num_qubits"] >= benchmark_config.min_qubits) - & (self.database["num_qubits"] <= benchmark_config.max_qubits) - & (self.database["benchmark"].isin(selected_scalable_benchmarks)) - ) - | (self.database["benchmark"].isin(selected_nonscalable_benchmarks)) - ] - - if benchmark_config.indep_qiskit_compiler: - db_tmp1 = db_tmp.loc[(db_tmp["indep_flag"]) & (db_tmp["compiler"] == "qiskit")] - db_filtered = pd.concat([db_filtered, db_tmp1]) - - if benchmark_config.indep_tket_compiler: - db_tmp2 = db_tmp.loc[(db_tmp["indep_flag"]) & (db_tmp["compiler"] == "tket")] - db_filtered = pd.concat([db_filtered, db_tmp2]) - - if ( - benchmark_config.nativegates_qiskit_compiler - and benchmark_config.native_gatesets - and benchmark_config.native_qiskit_opt_lvls - ): - for gate_set in benchmark_config.native_gatesets: - for opt_lvl in benchmark_config.native_qiskit_opt_lvls: - db_tmp3 = db_tmp.loc[ - (db_tmp["nativegates_flag"]) - & (db_tmp["gate_set"] == gate_set) - & (db_tmp["compiler"] == "qiskit") - & (db_tmp["compiler_settings"] == opt_lvl) - ] - db_filtered = pd.concat([db_filtered, db_tmp3]) - - if benchmark_config.nativegates_tket_compiler and benchmark_config.native_gatesets: - for gate_set in benchmark_config.native_gatesets: - db_tmp4 = db_tmp.loc[ - (db_tmp["nativegates_flag"]) & (db_tmp["gate_set"] == gate_set) & (db_tmp["compiler"] == "tket") - ] - db_filtered = pd.concat([db_filtered, db_tmp4]) - - if ( - benchmark_config.mapped_qiskit_compiler - and benchmark_config.mapped_qiskit_opt_lvls - and benchmark_config.mapped_devices - ): - for opt_lvl in benchmark_config.mapped_qiskit_opt_lvls: - for device in benchmark_config.mapped_devices: - db_tmp5 = db_tmp.loc[ - (db_tmp["mapped_flag"]) - & (db_tmp["target_device"] == device) - & (db_tmp["compiler"] == "qiskit") - & (db_tmp["compiler_settings"] == opt_lvl) - ] - db_filtered = pd.concat([db_filtered, db_tmp5]) - - if ( - benchmark_config.mapped_tket_compiler - and benchmark_config.mapped_tket_placements - and benchmark_config.mapped_devices - ): - for placement in benchmark_config.mapped_tket_placements: - for device in benchmark_config.mapped_devices: - db_tmp6 = db_tmp.loc[ - (db_tmp["mapped_flag"]) - & (db_tmp["target_device"] == device) - & (db_tmp["compiler"] == "tket") - & (db_tmp["compiler_settings"] == placement) - ] - db_filtered = pd.concat([db_filtered, db_tmp6]) - - return cast("list[str]", db_filtered["filename"].to_list()) - - def generate_zip_ephemeral_chunks( - self, - filenames: list[str], - ) -> Iterable[bytes]: - """Generates the zip file for the selected benchmarks and returns a generator of the chunks. - - Arguments: - filenames: list of file paths for all selected benchmarks - - Returns: - Generator of bytes to send to the browser - """ - fileobj = NoSeekBytesIO(io.BytesIO()) - - with ZipFile(fileobj, mode="w") as zf: # type: ignore[arg-type] - for individual_file in filenames: - individual_file_as_path = Path(individual_file) - assert self.mqtbench_all_zip is not None - zf.writestr( - individual_file_as_path.name, - data=self.mqtbench_all_zip.read(individual_file), - compress_type=ZIP_DEFLATED, - compresslevel=3, - ) - fileobj.hidden_seek(0) - yield fileobj.read() - fileobj.truncate_and_remember_offset(0) - - fileobj.hidden_seek(0) - yield fileobj.read() - fileobj.close() - - def get_selected_file_paths(self, prepared_data: BenchmarkConfiguration) -> list[str]: - """Extracts all file paths according to the prepared user's filter criteria. - - Arguments: - prepared_data: user's filter criteria after preparation step - - Returns: - file_paths: list of filter criteria for each selected benchmark - """ - return self.filter_database(prepared_data) - - def init_database(self) -> bool: - """Generates the database and saves it into a global variable.""" - assert self.mqtbench_all_zip is not None - - print("Initiating database...") - self.database = create_database(self.mqtbench_all_zip) - print(f"... done: {len(self.database)} benchmarks.") - - if not self.database.empty: - return True - - print("Database initialization failed.") - return False - - def prepare_form_input(self, form_data: dict[str, str]) -> BenchmarkConfiguration: - """Formats the formData extracted from the user's inputs.""" - min_qubits = 2 - max_qubits = 130 - indices_benchmarks = [] - indep_qiskit_compiler = False - indep_tket_compiler = False - nativegates_qiskit_compiler = False - nativegates_tket_compiler = False - native_qiskit_opt_lvls = [] - native_gatesets = [] - mapped_qiskit_compiler = False - mapped_tket_compiler = False - mapped_qiskit_opt_lvls = [] - mapped_tket_placements = [] - mapped_devices = [] - - for k, v in form_data.items(): - if "select" in k: - found_benchmark_id = parse_benchmark_id_from_form_key(k) - if found_benchmark_id: - indices_benchmarks.append(found_benchmark_id) - min_qubits = int(v) if "minQubits" in k and v else min_qubits - max_qubits = int(v) if "maxQubits" in k and v else max_qubits - - indep_qiskit_compiler = "indep_qiskit_compiler" in k or indep_qiskit_compiler - indep_tket_compiler = "indep_tket_compiler" in k or indep_tket_compiler - - nativegates_qiskit_compiler = "nativegates_qiskit_compiler" in k or nativegates_qiskit_compiler - nativegates_tket_compiler = "nativegates_tket_compiler" in k or nativegates_tket_compiler - native_qiskit_opt_lvls.append(0) if "nativegates_qiskit_compiler_opt0" in k else None - native_qiskit_opt_lvls.append(1) if "nativegates_qiskit_compiler_opt1" in k else None - native_qiskit_opt_lvls.append(2) if "nativegates_qiskit_compiler_opt2" in k else None - native_qiskit_opt_lvls.append(3) if "nativegates_qiskit_compiler_opt3" in k else None - native_gatesets.append("ibm") if "nativegates_ibm" in k else None - native_gatesets.append("rigetti") if "nativegates_rigetti" in k else None - native_gatesets.append("oqc") if "nativegates_oqc" in k else None - native_gatesets.append("ionq") if "nativegates_ionq" in k else None - native_gatesets.append("quantinuum") if "nativegates_quantinuum" in k else None - - mapped_qiskit_compiler = "mapped_qiskit_compiler" in k or mapped_qiskit_compiler - mapped_tket_compiler = "mapped_tket_compiler" in k or mapped_tket_compiler - mapped_qiskit_opt_lvls.append(0) if "mapped_qiskit_compiler_opt0" in k else None - mapped_qiskit_opt_lvls.append(1) if "mapped_qiskit_compiler_opt1" in k else None - mapped_qiskit_opt_lvls.append(2) if "mapped_qiskit_compiler_opt2" in k else None - mapped_qiskit_opt_lvls.append(3) if "mapped_qiskit_compiler_opt3" in k else None - mapped_tket_placements.append("graph") if "mapped_tket_compiler_graph" in k else None - mapped_tket_placements.append("line") if "mapped_tket_compiler_line" in k else None - mapped_devices.append("ibm_montreal") if "device_ibm_montreal" in k else None - mapped_devices.append("ibm_washington") if "device_ibm_washington" in k else None - mapped_devices.append("rigetti_aspen_m3") if "device_rigetti_aspen_m3" in k else None - mapped_devices.append("oqc_lucy") if "device_oqc_lucy" in k else None - mapped_devices.append("ionq_harmony") if "device_ionq_harmony" in k else None - mapped_devices.append("ionq_aria1") if "device_ionq_aria1" in k else None - mapped_devices.append("quantinuum_h2") if "device_quantinuum_h2" in k else None - - return BenchmarkConfiguration( - min_qubits=min_qubits, - max_qubits=max_qubits, - indices_benchmarks=indices_benchmarks, - indep_qiskit_compiler=indep_qiskit_compiler, - indep_tket_compiler=indep_tket_compiler, - nativegates_qiskit_compiler=nativegates_qiskit_compiler, - nativegates_tket_compiler=nativegates_tket_compiler, - native_qiskit_opt_lvls=native_qiskit_opt_lvls, - native_gatesets=native_gatesets, - mapped_qiskit_compiler=mapped_qiskit_compiler, - mapped_tket_compiler=mapped_tket_compiler, - mapped_qiskit_opt_lvls=mapped_qiskit_opt_lvls, - mapped_tket_placements=mapped_tket_placements, - mapped_devices=mapped_devices, - ) - - def read_mqtbench_all_zip( - self, - target_location: str, - skip_question: bool = False, - ) -> bool: - """Reads the 'MQTBench_all.zip' file from the target location.""" - huge_zip_path = Path(target_location) / "MQTBench_all.zip" - - try: - mqtbench_module_version = metadata.version("mqt.bench") - except Exception: - print("'mqt.bench' is most likely not installed. Please run 'pip install . or pip install mqt.bench'.") - return False - - print("Searching for local benchmarks...") - if huge_zip_path.is_file() and len(ZipFile(huge_zip_path, "r").namelist()) != 0: - print("... found.") - else: - print("No benchmarks found. Querying GitHub...") - - version_found = False - available_versions = [elem["name"] for elem in handle_github_api_request("tags").json()] - - for possible_version in available_versions: - if version.parse(mqtbench_module_version) >= version.parse(possible_version): - response_json = handle_github_api_request(f"releases/tags/{possible_version}").json() - if "assets" in response_json: - assets = response_json["assets"] - elif "asset" in response_json: - assets = [response_json["asset"]] - else: - assets = [] - - for asset in assets: - if asset["name"] == "MQTBench_all.zip": - version_found = True - - if version_found: - download_url = asset["browser_download_url"] - if not skip_question: - file_size = round((asset["size"]) / 2**20, 2) - print( - f"Found 'MQTBench_all.zip' (Version {possible_version}, Size {file_size} MB, Link: {download_url})" - ) - response = input("Would you like to downloaded the file? (Y/n)") - if skip_question or response.lower() == "y" or not response: - self.handle_downloading_benchmarks(target_location, download_url) - break - if version_found: - break - - if not version_found: - print("No suitable benchmarks found.") - return False - - with huge_zip_path.open("rb") as zf: - zip_bytes = io.BytesIO(zf.read()) - self.mqtbench_all_zip = ZipFile(zip_bytes, mode="r") - return True - - def handle_downloading_benchmarks(self, target_location: str, download_url: str) -> None: - """Downloads the benchmarks from the given URL and saves them to the target location.""" - print("Start downloading benchmarks...") - - r = requests.get(download_url, stream=True) - - content_length_response = r.headers.get("content-length") - assert content_length_response is not None - total_length = int(content_length_response) - fname = target_location + "/MQTBench_all.zip" - - Path(target_location).mkdir(parents=True, exist_ok=True) - with ( - Path(fname).open("wb") as f, - tqdm( - desc=fname, - total=total_length, - unit="iB", - unit_scale=True, - ) as bar, - ): - for data in r.iter_content(chunk_size=1024): - size = f.write(data) - bar.update(size) - print(f"Download completed to {fname}. Server is starting now.") - - -def parse_data(filename: str) -> ParsedBenchmarkName: - """Extracts the necessary information from a given filename. - - Arguments: - filename: name of file - - Returns: - parsed_data: parsed data extracted from filename - """ - benchmark = filename.split("_")[0].lower() - num_qubits = get_num_qubits(filename) - indep_flag = "indep" in filename - nativegates_flag = "nativegates" in filename - mapped_flag = "mapped" in filename - compiler, compiler_settings = get_compiler_and_settings(filename) - gate_set = get_gate_set(filename) if nativegates_flag or mapped_flag else None - target_device = get_target_device(filename) if mapped_flag else None - - return ParsedBenchmarkName( - benchmark=benchmark, - num_qubits=num_qubits, - indep_flag=indep_flag, - nativegates_flag=nativegates_flag, - mapped_flag=mapped_flag, - compiler=compiler, - compiler_settings=compiler_settings, - gate_set=gate_set, - target_device=target_device, - filename=filename, - ) - - -class NoSeekBytesIO: - """Class to handle the BytesIO object without seekable functionality.""" - - def __init__(self, fp: io.BytesIO) -> None: - """Initializes the BytesIO object.""" - self.fp = fp - self.deleted_offset = 0 - - def write(self, b: bytes) -> int: - """Writes the given bytes to the BytesIO object.""" - return self.fp.write(b) - - def tell(self) -> int: - """Returns the current position in the BytesIO object considering the deleted offset.""" - return self.deleted_offset + self.fp.tell() - - def hidden_tell(self) -> int: - """Returns the current position in the BytesIO object.""" - return self.fp.tell() - - def seekable(self) -> bool: - """Returns False because the BytesIO object is not seekable.""" - return False - - def hidden_seek(self, offset: int, start_point: int = io.SEEK_SET) -> int: - """Seeks the BytesIO object.""" - return self.fp.seek(offset, start_point) - - def truncate_and_remember_offset(self, size: int | None) -> int: - """Truncates the BytesIO object and remembers the deleted offset.""" - self.deleted_offset += self.fp.tell() - self.fp.seek(0) - return self.fp.truncate(size) - - def get_value(self) -> bytes: - """Returns the value of the BytesIO object.""" - return self.fp.getvalue() - - def close(self) -> None: - """Closes the BytesIO object.""" - return self.fp.close() - - def read(self) -> bytes: - """Reads the BytesIO object.""" - return self.fp.read() - - def flush(self) -> None: - """Flushes the BytesIO object.""" - return self.fp.flush() - - -def parse_benchmark_id_from_form_key(k: str) -> int | bool: - """Extracts the benchmark id from the form key.""" - pat = re.compile(r"_\d+") - m = pat.search(k) - if m: - return int(m.group()[1:]) - return False - - -def get_opt_level(filename: str) -> int: - """Extracts the optimization level based on a filename. - - Arguments: - filename: filename of a benchmark - - Returns: - num: optimization level. - """ - pat = re.compile(r"opt\d") - m = pat.search(filename) - num = m.group()[-1:] if m else -1 - return int(cast("str", num)) - - -def get_num_qubits(filename: str) -> int: - """Extracts the number of qubits based on a filename. - - Arguments: - filename: filename of a benchmark - - Returns: - num: number of qubits. - """ - pat = re.compile(r"(\d+)\.") - m = pat.search(filename) - num = m.group()[0:-1] if m else -1 - return int(cast("str", num)) - - -def get_tket_settings(filename: str) -> str | None: - """Extracts the tket settings based on a filename.""" - if "mapped" not in filename: - return None - if "line" in filename: - return "line" - if "graph" in filename: - return "graph" - error_msg = "Unknown tket settings in: " + filename - raise ValueError(error_msg) - - -def get_gate_set(filename: str) -> str: - """Extracts the gate set based on a filename.""" - if "oqc" in filename: - return "oqc" - if "ionq" in filename: - return "ionq" - if "ibm" in filename: - return "ibm" - if "rigetti" in filename: - return "rigetti" - if "quantinuum" in filename: - return "quantinuum" - raise ValueError("Unknown gate set: " + filename) - - -def get_target_device(filename: str) -> str: - """Extracts the target device based on a filename.""" - devices = [ - "ibm_washington", - "ibm_montreal", - "rigetti_aspen_m3", - "ionq_harmony", - "ionq_aria1", - "oqc_lucy", - "quantinuum_h2", - ] - for device in devices: - if device in filename: - return device - raise ValueError("Unknown target device: " + filename) - - -def get_compiler_and_settings(filename: str) -> tuple[str, str | int | None]: - """Extracts the compiler and its settings based on a filename.""" - if "qiskit" in filename: - return "qiskit", get_opt_level(filename) - if "tket" in filename: - return "tket", get_tket_settings(filename) - raise ValueError("Unknown compiler: " + filename) - - -def create_database(zip_file: ZipFile) -> pd.DataFrame: - """Creates the database based on the provided directories. - - Arguments: - zip_file: zip containing all .qasm files - - Returns: - database containing all available benchmarks - """ - rows_list = [] - - for filename in zip_file.namelist(): - if filename.endswith(".qasm"): - parsed_data = parse_data(filename) - rows_list.append(parsed_data) - - colnames = list(ParsedBenchmarkName.__annotations__.keys()) - - database = pd.DataFrame(rows_list, columns=colnames) - database["num_qubits"] = database["num_qubits"].astype(int) - database["benchmark"] = database["benchmark"].astype(str) - return database - - -def handle_downloading_benchmarks(target_location: str, download_url: str) -> None: - """Downloads the benchmarks from the given URL and saves them to the target location.""" - print("Start downloading benchmarks...") - - r = requests.get(download_url) - total_length = int(r.headers["content-length"]) - - fname = target_location + "/MQTBench_all.zip" - - Path(target_location).mkdir(parents=True, exist_ok=True) - with ( - Path(fname).open("wb") as f, - tqdm( - desc=fname, - total=total_length, - unit="iB", - unit_scale=True, - ) as bar, - ): - for data in r.iter_content(chunk_size=1024): - size = f.write(data) - bar.update(size) - print(f"Download completed to {fname}. Server is starting now.") - - -def handle_github_api_request(repo_url: str) -> requests.Response: - """Handles the GitHub API request and returns the response.""" - # If the environment variable GITHUB_TOKEN is set, use it to authenticate to the GitHub API - # to increase the rate limit from 60 to 5000 requests per hour per IP address. - headers = None - if "GITHUB_TOKEN" in os.environ: - headers = {"Authorization": f"token {os.environ['GITHUB_TOKEN']}"} - - response = requests.get(f"https://api.github.com/repos/cda-tum/mqtbench/{repo_url}", headers=headers) - success_code = 200 - if response.status_code == success_code: - return response - - msg = ( - f"Request to GitHub API failed with status code {response.status_code}!\n" - f"One reasons could be that the limit of 60 API calls per hour and IP address is exceeded.\n" - f"If you want to increase the limit, set the environment variable GITHUB_TOKEN to a GitHub personal access token.\n" - f"See https://docs.github.com/en/github/authenticating-to-github/creating-a-personal-access-token for more information." - ) - raise RuntimeError(msg) diff --git a/frontend/src/mqt/bench/viewer/main.py b/frontend/src/mqt/bench/viewer/main.py deleted file mode 100644 index 39c2d0448..000000000 --- a/frontend/src/mqt/bench/viewer/main.py +++ /dev/null @@ -1,188 +0,0 @@ -"""Main module to start the server.""" - -from __future__ import annotations - -import logging -import os -from datetime import datetime -from typing import TYPE_CHECKING - -from flask import Flask, cli, jsonify, render_template, request, send_from_directory - -from mqt.bench import utils - -from .backend import Backend - -if TYPE_CHECKING: # pragma: no cover - from flask import Response - - -class Server: - """Class to manage the server.""" - - def __init__( - self, - target_location: str, - skip_question: bool = False, - activate_logging: bool = False, - ) -> None: - """Initialize the server.""" - self.backend = Backend() - - self.target_location = target_location - if not os.access(self.target_location, os.W_OK): - msg = "target_location is not writable. Please specify a different path." - raise RuntimeError(msg) - - res_zip = self.backend.read_mqtbench_all_zip(self.target_location, skip_question) - if not res_zip: - msg = "Error while reading the MQTBench_all.zip file." - raise RuntimeError(msg) - self.backend.init_database() - if self.backend.database is None: - msg = "Error while initializing the database." - raise RuntimeError(msg) - - self.activate_logging = activate_logging - - if self.activate_logging: - logging.basicConfig(filename="/local/mqtbench/downloads.log", level=logging.INFO) - global SERVER # noqa: PLW0603 - SERVER = self - - -app = Flask(__name__, static_url_path="/mqtbench") -SERVER: Server = None # type: ignore[assignment] -PREFIX = "/mqtbench/" - - -@app.route(f"{PREFIX}/", methods=["POST", "GET"]) -@app.route(f"{PREFIX}/index", methods=["POST", "GET"]) -def index() -> str: - """Return the index.html file together with the benchmarks and nonscalable benchmarks.""" - return render_template( - "index.html", - benchmarks=SERVER.backend.benchmarks, - nonscalable_benchmarks=SERVER.backend.nonscalable_benchmarks, - ) - - -@app.route(f"{PREFIX}/get_pre_gen", methods=["POST", "GET"]) -def download_pre_gen_zip() -> Response: - """Return the pre-generated zip file.""" - filename = "MQTBench_all.zip" - - if SERVER.activate_logging: - timestamp = datetime.now().strftime("%Y-%m-%d-%H-%M-%S") - app.logger.info("###### Start ######") - app.logger.info("Timestamp: %s", timestamp) - headers = str(request.headers) - headers = headers.replace("\r\n", "").replace("\n", "") - app.logger.info("Headers: %s", headers) - app.logger.info("Download of pre-generated zip") - app.logger.info("###### End ######") - - return send_from_directory( - SERVER.target_location, - filename, - as_attachment=True, - mimetype="application/zip", - download_name="MQTBench_all.zip", - ) - - -@app.route(f"{PREFIX}/download", methods=["POST", "GET"]) -def download_data() -> str | Response: - """Triggers the downloading process of all benchmarks according to the user's input.""" - if request.method == "POST": - data = request.form - prepared_data = SERVER.backend.prepare_form_input(data) - file_paths = SERVER.backend.get_selected_file_paths(prepared_data) - timestamp = datetime.now().strftime("%Y-%m-%d-%H-%M-%S") - - if SERVER.activate_logging: - app.logger.info("###### Start ######") - app.logger.info("Timestamp: %s", timestamp) - headers = str(request.headers) - headers = headers.replace("\r\n", "").replace("\n", "") - app.logger.info("Headers: %s", headers) - app.logger.info("Prepared_data: %s", prepared_data) - app.logger.info("Download started: %s", len(file_paths)) - app.logger.info("###### End ######") - - if file_paths: - return app.response_class( # type: ignore[no-any-return] - SERVER.backend.generate_zip_ephemeral_chunks(file_paths), - mimetype="application/zip", - headers={"Content-Disposition": f'attachment; filename="MQTBench_{timestamp}.zip"'}, - direct_passthrough=True, - ) - - return render_template( - "index.html", - benchmarks=SERVER.backend.benchmarks, - nonscalable_benchmarks=SERVER.backend.nonscalable_benchmarks, - ) - - -@app.route(f"{PREFIX}/legal") -def legal() -> str: - """Return the legal.html file.""" - return render_template("legal.html") - - -@app.route(f"{PREFIX}/description") -def description() -> str: - """Return the description.html file in which the file formats are described.""" - return render_template("description.html") - - -@app.route(f"{PREFIX}/benchmark_description") -def benchmark_description() -> str: - """Return the benchmark_description.html file together in which all benchmark algorithms are described in detail.""" - return render_template("benchmark_description.html") - - -@app.route(f"{PREFIX}/get_num_benchmarks", methods=["POST"]) -def get_num_benchmarks() -> Response: - """Return the number of selected benchmarks.""" - if request.method == "POST": - data = request.form - prepared_data = SERVER.backend.prepare_form_input(data) - file_paths = SERVER.backend.get_selected_file_paths(prepared_data) - return jsonify({"num_selected": len(file_paths)}) # type: ignore[no-any-return] - return jsonify({"num_selected": 0}) # type: ignore[no-any-return] - - -def start_server( - skip_question: bool = False, - activate_logging: bool = False, - target_location: str | None = None, - debug_flag: bool = False, -) -> None: - """Start the server.""" - if not target_location: - target_location = utils.get_zip_folder_path() - - Server( - target_location=target_location, - skip_question=skip_question, - activate_logging=activate_logging, - ) - print( - "Server is hosted at: http://127.0.0.1:5000" + PREFIX + ".", - "To stop it, interrupt the process (e.g., via CTRL+C). \n", - ) - - # This line avoid the startup-message from flask - cli.show_server_banner = lambda *_args: None - - if not activate_logging: - log = logging.getLogger("werkzeug") - log.disabled = True - - app.run(debug=debug_flag) - - -if __name__ == "__main__": - start_server() diff --git a/frontend/src/mqt/bench/viewer/py.typed b/frontend/src/mqt/bench/viewer/py.typed deleted file mode 100644 index 5f3ea3d91..000000000 --- a/frontend/src/mqt/bench/viewer/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Instruct type checkers to look for inline type annotations in this package. -# See PEP 561. diff --git a/frontend/src/mqt/bench/viewer/static/favicon.ico b/frontend/src/mqt/bench/viewer/static/favicon.ico deleted file mode 100644 index 5fe56cf64..000000000 Binary files a/frontend/src/mqt/bench/viewer/static/favicon.ico and /dev/null differ diff --git a/frontend/src/mqt/bench/viewer/static/files/MQTBench_all.zip b/frontend/src/mqt/bench/viewer/static/files/MQTBench_all.zip deleted file mode 100644 index 15cb0ecb3..000000000 Binary files a/frontend/src/mqt/bench/viewer/static/files/MQTBench_all.zip and /dev/null differ diff --git a/frontend/src/mqt/bench/viewer/static/files/qasm_output/.gitignore b/frontend/src/mqt/bench/viewer/static/files/qasm_output/.gitignore deleted file mode 100644 index 5e7d2734c..000000000 --- a/frontend/src/mqt/bench/viewer/static/files/qasm_output/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -# Ignore everything in this directory -* -# Except this file -!.gitignore diff --git a/frontend/src/mqt/bench/viewer/static/mqt_dark.png b/frontend/src/mqt/bench/viewer/static/mqt_dark.png deleted file mode 100644 index adc910ce8..000000000 Binary files a/frontend/src/mqt/bench/viewer/static/mqt_dark.png and /dev/null differ diff --git a/frontend/src/mqt/bench/viewer/static/tum_logo.svg b/frontend/src/mqt/bench/viewer/static/tum_logo.svg deleted file mode 100644 index 82e109275..000000000 --- a/frontend/src/mqt/bench/viewer/static/tum_logo.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - 2015_Logo_TUM_RGB - Created with Sketch. - - - - - - - diff --git a/frontend/src/mqt/bench/viewer/templates/benchmark_description.html b/frontend/src/mqt/bench/viewer/templates/benchmark_description.html deleted file mode 100644 index 63d9c8d77..000000000 --- a/frontend/src/mqt/bench/viewer/templates/benchmark_description.html +++ /dev/null @@ -1,407 +0,0 @@ - - - - - - - - - - - - - MQT Bench - - - - - - -
- -
-

MQT Bench: Brief Description of Benchmarks

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- Benchmark Descriptions -
Benchmark AlgorithmDescription
Amplitude Estimation (AE) - AE aims to find an estimation for the amplitude of a certain - quantum state. -
Deutsch-Jozsa - This algorithms determines, whether an unknown oracle mapping - input values either to 0 or 1 is constant (always output 1 or - always 0) or balanced (both outputs are equally likely). -
GHZ State - The Greenberger-Horne-Zeilinger state is an entangled quantum - state with a certain type of entanglement. -
Graph State - Graph states in quantum computing represent a graph with vertices - and edges through a quantum circuit. -
Ground State - A famous application of quantum computing and specifically of VQE - algorithms is the ground state estimation of molecules. Here, we - provide two different molecules, H2 ("small") and LiH ("medium"), - and estimate their ground state using VQE with a TwoLocal ansatz. - The source code for the algorithmic level originates from - this page. -
Grover's (no ancilla) - One of the most famous quantum algorithm known so far, Grover's - algorithm finds a certain goal quantum state determined by an - oracle. In our case, the oracle is implemented by a - multi-controlled Toffoli gate over all input qubits. In this no - ancilla version, no ancilla qubits are used during its - realization. -
Grover's (v-chain) - Similar to the algorithm above with the difference, that the - ancillary mode is a v-chain in this algorithm. -
- Portfolio Optimization with QAOA - - This algorithms solves the mean-variance portfolio optimization - problem for different assets. In this case, a QAOA algorithm - instance is used. The source code for the algorithmic level - originates from - this page. -
Portfolio Optimization with VQE - This algorithms solves the mean-variance portfolio optimization - problem for different assets. In this case, a VQE algorithm instance - is used. The source code for the algorithmic level originates from - this page. -
Pricing Call Option - This algorithm estimates the fair price of a european call option - using iterative amplitude estimation. The source code for the - algorithmic level originates from - this page. -
Pricing Put Option - This algorithm estimates the fair price of a european put option - using iterative amplitude estimation. The source code for the - algorithmic level originates from - this page. -
- Quantum Approximation Optimization Algorithm (QAOA) - - One of the most famous algorithm from the algorithmic class of - variational quantum algorithms. It is a parameterizable quantum - algorithms to solve optimization problems. Here, it solves a - max-cut problem instance. -
- Quantum Fourier Transformation (QFT) - - QFT embodies the quantum equivalent of the discrete Fourier - transform and is a very important building block in many quantum - algorithms. -
Entangled QFT - Applies regular QFT to entangled qubits. -
Quantum Neural Network (QNN) - This algorithm class is the quantum equivalent to classical Neural - Network. The source code for the algorithmic level originates from - this page. -
- Quantum Phase Estimation (QPE) exact - - QPE estimates the phase of a quantum operation and is a very - important building block in many quantum algorithms. In the exact - case, the applied phase is exactly representable by the number of - qubits. -
- Quantum Phase Estimation (QPE) inexact - - Similar to QPE exact with the difference, that the applied phase - is not exactly representable by the number of qubits. -
Quantum Walk (no ancilla) - Quantum walks are the quantum equivalent to classical random - walks. In this no ancilla version, no ancilla qubits are used - during its realization. -
Quantum Walk (v-chain) - Similar to the algorithm above with the difference, that the - ancillary mode is a v-chain in this algorithm. -
Random Circuit - This benchmark represents a random circuit which is twice as deep - as wide. It considers random quantum gates with up to four qubits. -
Routing - This problem is similar to the travelling salesman problem with - the difference, that more than one vehicle may be used to travel - between those to be visited points, such that each point is - visited at least once. The source code for the algorithmic level - originates from - this page. -
Shor's - This algorithm is one of the most famous quantum algorithms and - used to find prime factors of integers. Here, we provide quantum - algorithms solving this problem for the integers 9, 15, and 821. - The filename, e.g., shor_821_4_t-indep_42.qasm includes also the - to be factorized number (821) and the period used, namely 4. -
Travelling Salesman - The travelling salesman problem is a very prominent optimization - problem of calculation the shortest path of a number of to be - visited points. Here, this is formulated as a quadratic problem - and solved using VQE with a TwoLocal ansatz. The source code for - the algorithmic level originates from - this page. -
- Variational Quantum Eigensolver (VQE) - - VQE is also one of the most famous algorithm from the class of - variational quantum algorithms. It is a parameterizable quantum - algorithms with different possible choices of an ansatz function. - Here, a TwoLocal ansatz is chosen and applied to the same max-cut - problem instance as in QAOA. -
- Efficient SU2 ansatz with Random Parameters - - VQE ansatz with randomly initialized values. Detailed information - can be found on - this page. -
- Real Amplitudes ansatz with Random Parameters - - VQE ansatz with randomly initialized values. Detailed information - can be found on - this page. -
- Two Local ansatz with random parameters - - VQE ansatz with randomly initialized values. Detailed information - can be found on - this page. -
W-State - The W state is an entangled quantum state with a certain type of - entanglement. -
-
-
- - - - - - - diff --git a/frontend/src/mqt/bench/viewer/templates/description.html b/frontend/src/mqt/bench/viewer/templates/description.html deleted file mode 100644 index 1ee774182..000000000 --- a/frontend/src/mqt/bench/viewer/templates/description.html +++ /dev/null @@ -1,200 +0,0 @@ - - - - - - - - - - - - - MQT Bench - - - - - -
- -
-

MQT Bench: Level Description and File Format

-

Benchmarks are provided on four different abstraction levels:

-
    -
  • - Algorithmic Level: Circuits are described in a textbook-like - fashion using high-level constructs. -
    • -
  • - Target-Independent Level: Circuits are unfolded and unrolled - representations of the circuits from the algorithmic level. -
    • -
  • - Target-dependent Native Gates Level: Circuits are synthesized - to a particular native gate-set. -
    • -
  • - Target-dependent Mapped Level: Circuits are mapped to a - particular architecture. -
    • -
-

Used File Format:

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    -
  • - Until openQASM 3.0 is widely supported, all circuits (except those on - the algorithmic level) are provided as .qasm files following - the openQASM 2.0 standard. Circuits on the algorithmic level can - directly be generated (as IBM Qiskit QuantumCircuit objects) using the - mqt.bench python package. More details on openQASM 2.0 can be - found here, and on - openQASM 3.0 here. -
    • -
  • - Not every benchmark is necessarily available for every possible - configuration of the available options. For example, not all qubit - counts in a given range might be available for a selected benchmark. -
    • -
  • - Mapped benchmarks are only available up to the biggest available - architecture. That is, for IBM (for Rigetti) mapped benchmarks are - available only for instances with up to 127 qubits (80 qubits). -
    • -
  • - Since the .zip file may be composed of numerous files - (currently, we offer more than 30.000 benchmark circuits), the - following naming convention is used for the respective files: -
    • -
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- Level Descriptions -
LevelFilenameExample
Algorithmic Level - For this level, dedicated .qasm files cannot be provided - yet, since openQASM 2.0 supports only a set of quantum gates. - Thus, we provide those benchmarks using our pypi package which is - accessible via pip. - - Python Qiskit::QuantumCircuit Object -
Target-independent Level - <benchmark_identifier>_indep_<compiler>_<number_of_qubits>.qasm - qft_indep_tket_5.qasm
- Target-dependent Native Gates Level - - <benchmark_identifier>_nativegates_<native_gate_set>_<compiler>_<optional: - compiler settings>_<number_of_qubits>.qasm - - qft_nativegates_ibm_qiskit_opt3_5.qasm -
Target-dependent Mapped Level - <benchmark_identifier>_mapped_<device>_<compiler>_<compiler - settings>_<number_of_qubits>.qasm - - qft_mapped_rigetti_aspen_m3_qiskit_opt3_5.qasm -
-
- -
- - - - - - - - diff --git a/frontend/src/mqt/bench/viewer/templates/index.html b/frontend/src/mqt/bench/viewer/templates/index.html deleted file mode 100644 index 578e92782..000000000 --- a/frontend/src/mqt/bench/viewer/templates/index.html +++ /dev/null @@ -1,782 +0,0 @@ - - - - - - - - - - - - - MQT Bench - - - - - - -
-

- - - -

-
-

- Welcome to the Munich Quantum Toolkit Benchmark Library (MQT Bench)! -

-

- Quantum software tools for a wide variety of design tasks on and across - different levels of abstraction are crucial for eventually realizing - useful quantum applications. This requires practical and relevant - benchmarks in order for new software tools or design automation methods - to be empirically evaluated and compared to the current state of the - art. Since these tools and methods operate on and across different - levels of abstraction, it is beneficial having benchmarks consistently - available across those levels. The MQT Benchmark Library (MQT Bench) - provides a single benchmark suite which offers the same benchmark - algorithms on different levels of abstractions. At the moment, MQT Bench - comprises around 70,000 benchmark circuits ranging from 2 up to 130 - qubits on four abstraction levels. -

- -

- In order to create a benchmark set according to your needs, simply fill - out the form below. Furthermore, MQT Bench is also available as a - PennyLane dataset. -

-
-
-
-
-

Benchmark Selection

-

- Please select the desired benchmarks from the set of all available - ones or select all (). For details, see the - benchmark description. -

-
-
-
-
-
-
Scalable Benchmarks:
-

- - The number of qubits for the following benchmarks is adjustable. - -

- - {% for benchmark in benchmarks %} - -
-
- - {{ benchmark.name }} -
-
- {% endfor %} - -
Qubit Range
-

- Select the desired qubit range for the scalable benchmarks. -

-
- - -
-
- -
-
Non-Scalable Benchmarks:
-

- - The number of qubits for the following benchmarks is fixed. - -

- - {% for nonscalable_benchmark in nonscalable_benchmarks %} - -
-
- - {{ nonscalable_benchmark.name }} -
-
- - {% endfor %} -
-
- -
-

Abstraction Level Selection

-

- Next, abstraction levels for the selected benchmarks must be chosen. - There are four available levels ranging from a rather high level - description on the algorithm level towards a rather low level - description on the target-dependent mapped level. For details, see - the level description. -

-
- -
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-
-
-
Algorithm Level
-

- Currently, only available using the Python package. Details can be - found on our - GitHub page. -

-
- -
-
Target-independent Level
-

- Select the used compiler: -

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Target-dependent Native Gates Level
- -

- Select targeted native gate-set: -

-
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- - -
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- - -
-
- - -
-
- - -
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-

- Select the used compiler: -

- -
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- - -
- -
- - -
-
-

- If Qiskit is selected, select its optimization level: -

-
- - - - - - - - -
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- -
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Target-dependent Mapped Level
-

- Select a targeted device: -

- -
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- - -
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- Select the used compiler: -

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-
- - -
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- If Qiskit is selected, select its optimization level: -

-
- - - - - - - - -
-

- If TKET is selected, select its placement settings: -

-
- - - - -
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-
-

Download

-

-
-
Number of selected benchmarks:  
-
0
-
- After the download button is clicked, all benchmarks provided as - .qasm files are downloaded as a .zip archive. Details - of the file format are - provided. Alternatively, a pre-generated archive with - all benchmarks can be downloaded. - -
- -
-

- MQT Bench is also available as a - PennyLane dataset. -

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Reference

-

- For a more detailed description of MQT Bench, we are referring to the - corresponding paper - "MQT Bench: Benchmarking Software and Design Automation Tools for - Quantum Computing". Our implementation is available on - GitHub. - - In case you are using MQT Bench in your work, we would be thankful if - you referred to it by citing the following publication: -

- -

- @article{quetschlich2023mqtbench,
-   title={{{MQT Bench}}: Benchmarking Software and - Design Automation Tools for Quantum Computing},
-   shorttitle = {{MQT Bench}},
-   journal = {{Quantum}},
-   author={Quetschlich, Nils and Burgholzer, Lukas and Wille, - Robert},
-   year={2023},
-   note={{{MQT Bench}} is available at - \url{https://www.cda.cit.tum.de/mqtbench/}},
- } -

- -

- In case you have any problems or questions feel free to contact us via - quantum.cda@xcit.tum.de. - More on our work on quantum computation is summarized on - this page. -

-
- - - - - - - - - - diff --git a/frontend/src/mqt/bench/viewer/templates/legal.html b/frontend/src/mqt/bench/viewer/templates/legal.html deleted file mode 100644 index 48c65550a..000000000 --- a/frontend/src/mqt/bench/viewer/templates/legal.html +++ /dev/null @@ -1,179 +0,0 @@ - - - - - - - - - - - - - MQT Bench - - - - - - -
-
- Herausgeber
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- Arcisstraße 21
- 80333 München
- Telefon: +49 89 289-01
- poststelle@tum.de

- - Rechtsform und Vertretung
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- - - - - - - diff --git a/frontend/tests/test_benchviewer.py b/frontend/tests/test_benchviewer.py deleted file mode 100644 index 5ec55d8a3..000000000 --- a/frontend/tests/test_benchviewer.py +++ /dev/null @@ -1,443 +0,0 @@ -"""Test the mqt.bench.viewer module.""" - -from __future__ import annotations - -from importlib import resources -from pathlib import Path - -import pytest - -from mqt.bench.viewer import Backend, BenchmarkConfiguration, Server, backend -from mqt.bench.viewer.main import app - - -@pytest.mark.parametrize( - ("filename", "expected_res"), - [ - ("shor_15_4_nativegates_rigetti_qiskit_opt0_18.qasm", 0), - ("dj_mapped_ibm_washington_qiskit_opt3_103.qasm", 3), - ("graphstate_nativegates_ibm_qiskit_opt2_15.qasm", 2), - ("grover-noancilla_nativegates_ibm_qiskit_opt1_8.qasm", 1), - ("random_indep_5.qasm", -1), - ], -) -def test_get_opt_level(filename: str, expected_res: int) -> None: - """Test the get_opt_level parsing function.""" - assert int(backend.get_opt_level(filename)) == expected_res - - -@pytest.mark.parametrize( - ("filename", "expected_res"), - [ - ("shor_15_4_nativegates_rigetti_qiskit_opt0_18.qasm", 18), - ("dj_mapped_ibm_washington_qiskit_opt3_103.qasm", 103), - ("graphstate_nativegates_ibm_qiskit_opt2_15.qasm", 15), - ("grover-noancilla_nativegates_ibm_qiskit_opt1_8.qasm", 8), - ("random_indep_5.qasm", 5), - ], -) -def test_get_num_qubits(filename: str, expected_res: int) -> None: - """Test the get_num_qubits parsing function.""" - assert int(backend.get_num_qubits(filename)) == expected_res - - -@pytest.mark.parametrize( - ("filename", "expected_res"), - [ - ( - "shor_15_4_nativegates_rigetti_qiskit_opt0_18.qasm", - backend.ParsedBenchmarkName( - benchmark="shor", - num_qubits=18, - indep_flag=False, - nativegates_flag=True, - mapped_flag=False, - compiler="qiskit", - compiler_settings=0, - gate_set="rigetti", - target_device=None, - filename="shor_15_4_nativegates_rigetti_qiskit_opt0_18.qasm", - ), - ), - ( - "dj_mapped_ibm_washington_qiskit_opt3_103.qasm", - backend.ParsedBenchmarkName( - benchmark="dj", - num_qubits=103, - indep_flag=False, - nativegates_flag=False, - mapped_flag=True, - compiler="qiskit", - compiler_settings=3, - gate_set="ibm", - target_device="ibm_washington", - filename="dj_mapped_ibm_washington_qiskit_opt3_103.qasm", - ), - ), - ( - "pricingcall_mapped_oqc_lucy_tket_line_5.qasm", - backend.ParsedBenchmarkName( - benchmark="pricingcall", - num_qubits=5, - indep_flag=False, - nativegates_flag=False, - mapped_flag=True, - compiler="tket", - compiler_settings="line", - gate_set="oqc", - target_device="oqc_lucy", - filename="pricingcall_mapped_oqc_lucy_tket_line_5.qasm", - ), - ), - ( - "portfoliovqe_nativegates_ionq_qiskit_opt1_3.qasm", - backend.ParsedBenchmarkName( - benchmark="portfoliovqe", - num_qubits=3, - indep_flag=False, - nativegates_flag=True, - mapped_flag=False, - compiler="qiskit", - compiler_settings=1, - gate_set="ionq", - target_device=None, - filename="portfoliovqe_nativegates_ionq_qiskit_opt1_3.qasm", - ), - ), - ( - "random_indep_qiskit_5.qasm", - backend.ParsedBenchmarkName( - benchmark="random", - num_qubits=5, - indep_flag=True, - nativegates_flag=False, - mapped_flag=False, - compiler="qiskit", - compiler_settings=-1, - gate_set=None, - target_device=None, - filename="random_indep_qiskit_5.qasm", - ), - ), - ], -) -def test_parse_data(filename: str, expected_res: backend.ParsedBenchmarkName) -> None: - """Test the parse_data parsing function.""" - assert backend.parse_data(filename) == expected_res - - -def test_prepare_form_input() -> None: - """Test the prepare_form_input function.""" - form_data = { - "all_benchmarks": "true", - "minQubits": "75", - "maxQubits": "110", - "selectBench_1": "Amplitude Estimation (AE)", - "selectBench_2": "Deutsch-Jozsa", - "selectBench_3": "Graph State", - "selectBench_4": "GHZ State", - "selectBench_5": "Grover's (no ancilla)", - "selectBench_6": "Grover's (v-chain)", - "selectBench_7": "Portfolio Optimization with QAOA", - "selectBench_8": "Portfolio Optimization with VQE", - "selectBench_9": "Quantum Approximation Optimization Algorithm (QAOA)", - "selectBench_10": "Quantum Fourier Transformation (QFT)", - "selectBench_11": "QFT Entangled", - "selectBench_12": "Quantum Neural Network (QNN)", - "selectBench_13": "Quantum Phase Estimation (QPE) exact", - "selectBench_14": "Quantum Phase Estimation (QPE) inexact", - "selectBench_15": "Quantum Walk (no ancilla)", - "selectBench_16": "Quantum Walk (v-chain)", - "selectBench_17": "Random Circuit", - "selectBench_18": "Variational Quantum Eigensolver (VQE)", - "selectBench_19": "Efficient SU2 ansatz with Random Parameters", - "selectBench_20": "Real Amplitudes ansatz with Random Parameters", - "selectBench_21": "Two Local ansatz with Random Parameters", - "selectBench_22": "W-State", - "selectBench_23": "Ground State", - "selectBench_24": "Pricing Call Option", - "selectBench_25": "Pricing Put Option", - "selectBench_26": "Routing", - "selectBench_27": "Shor's", - "selectBench_28": "Travelling Salesman", - "indep_qiskit_compiler": "true", - "indep_tket_compiler": "true", - "nativegates_qiskit_compiler": "true", - "nativegates_qiskit_compiler_opt0": "true", - "nativegates_qiskit_compiler_opt1": "true", - "nativegates_qiskit_compiler_opt2": "true", - "nativegates_qiskit_compiler_opt3": "true", - "nativegates_tket_compiler value=": "on", - "nativegates_ibm": "true", - "nativegates_rigetti": "true", - "nativegates_oqc": "true", - "nativegates_ionq": "true", - "nativegates_quantinuum": "true", - "mapped_qiskit_compiler": "true", - "mapped_qiskit_compiler_opt0": "true", - "mapped_qiskit_compiler_opt1": "true", - "mapped_qiskit_compiler_opt2": "true", - "mapped_qiskit_compiler_opt3": "true", - "mapped_tket_compiler": "true", - "mapped_tket_compiler_graph": "true", - "mapped_tket_compiler_line": "true", - "device_ibm_washington": "true", - "device_ibm_montreal": "true", - "device_rigetti_aspen_m3": "true", - "device_oqc_lucy": "true", - "device_ionq_harmony": "true", - "device_ionq_aria1": "true", - "device_quantinuum_h2": "true", - } - - expected_res = BenchmarkConfiguration( - min_qubits=75, - max_qubits=110, - indices_benchmarks=list(range(1, 29)), - indep_qiskit_compiler=True, - indep_tket_compiler=True, - nativegates_qiskit_compiler=True, - native_qiskit_opt_lvls=[0, 1, 2, 3], - nativegates_tket_compiler=True, - native_gatesets=["ibm", "rigetti", "oqc", "ionq", "quantinuum"], - mapped_qiskit_compiler=True, - mapped_qiskit_opt_lvls=[0, 1, 2, 3], - mapped_tket_compiler=True, - mapped_tket_placements=["graph", "line"], - mapped_devices=[ - "ibm_washington", - "ibm_montreal", - "rigetti_aspen_m3", - "oqc_lucy", - "ionq_harmony", - "ionq_aria1", - "quantinuum_h2", - ], - ) - backend = Backend() - assert backend.prepare_form_input(form_data) == expected_res - - form_data = { - "all_benchmarks": "true", - "minQubits": "75", - "maxQubits": "110", - "indep_qiskit_compiler": "true", - "indep_tket_compiler": "true", - "nativegates_qiskit_compiler": "true", - "nativegates_qiskit_compiler_opt0": "true", - "nativegates_qiskit_compiler_opt1": "true", - "nativegates_qiskit_compiler_opt2": "true", - "nativegates_qiskit_compiler_opt3": "true", - "nativegates_tket_compiler value=": "on", - "nativegates_ibm": "true", - "nativegates_rigetti": "true", - "nativegates_oqc": "true", - "nativegates_ionq": "true", - "nativegates_quantinuum": "true", - "mapped_qiskit_compiler": "true", - "mapped_qiskit_compiler_opt0": "true", - "mapped_qiskit_compiler_opt1": "true", - "mapped_qiskit_compiler_opt2": "true", - "mapped_qiskit_compiler_opt3": "true", - "mapped_tket_compiler": "true", - "mapped_tket_compiler_graph": "true", - "mapped_tket_compiler_line": "true", - "device_ibm_washington": "true", - "device_ibm_montreal": "true", - "device_rigetti_aspen_m3": "true", - "device_oqc_lucy": "true", - "device_ionq_harmony": "true", - "device_ionq_aria1": "true", - "device_quantinuum_h2": "true", - } - expected_res = BenchmarkConfiguration( - min_qubits=75, - max_qubits=110, - indices_benchmarks=[], - indep_qiskit_compiler=True, - indep_tket_compiler=True, - nativegates_qiskit_compiler=True, - native_qiskit_opt_lvls=[0, 1, 2, 3], - nativegates_tket_compiler=True, - native_gatesets=["ibm", "rigetti", "oqc", "ionq", "quantinuum"], - mapped_qiskit_compiler=True, - mapped_qiskit_opt_lvls=[0, 1, 2, 3], - mapped_tket_compiler=True, - mapped_tket_placements=["graph", "line"], - mapped_devices=[ - "ibm_washington", - "ibm_montreal", - "rigetti_aspen_m3", - "oqc_lucy", - "ionq_harmony", - "ionq_aria1", - "quantinuum_h2", - ], - ) - backend = Backend() - assert backend.prepare_form_input(form_data) == expected_res - - -benchviewer = resources.files("mqt.bench.viewer") - - -def test_read_mqtbench_all_zip() -> None: - """Test the read_mqtbench_all_zip function.""" - backend = Backend() - with resources.as_file(benchviewer): - target_location = str(Path("./tests").resolve()) - assert backend.read_mqtbench_all_zip(skip_question=True, target_location=target_location) - - -def test_create_database() -> None: - """Test the create_database function.""" - backend = Backend() - res_zip = backend.read_mqtbench_all_zip( - skip_question=True, - target_location=str(Path("./tests").resolve()), - ) - assert res_zip - - assert backend.database is None - backend.init_database() - - input_data = BenchmarkConfiguration( - min_qubits=2, - max_qubits=5, - indices_benchmarks=[4], - indep_qiskit_compiler=True, - indep_tket_compiler=False, - nativegates_qiskit_compiler=False, - nativegates_tket_compiler=False, - mapped_qiskit_compiler=False, - mapped_tket_compiler=False, - ) - - res = backend.get_selected_file_paths(input_data) - assert isinstance(res, list) - assert len(res) >= 0 - - input_data = BenchmarkConfiguration( - min_qubits=110, - max_qubits=120, - indices_benchmarks=[3], - indep_qiskit_compiler=False, - indep_tket_compiler=False, - nativegates_qiskit_compiler=False, - nativegates_tket_compiler=True, - mapped_qiskit_compiler=False, - mapped_tket_compiler=False, - native_gatesets=["rigetti", "ionq"], - ) - res = backend.get_selected_file_paths(input_data) - assert isinstance(res, list) - assert len(res) >= 0 - - input_data = BenchmarkConfiguration( - min_qubits=75, - max_qubits=110, - indices_benchmarks=[2], - indep_qiskit_compiler=False, - indep_tket_compiler=False, - nativegates_qiskit_compiler=False, - nativegates_tket_compiler=False, - mapped_qiskit_compiler=True, - mapped_tket_compiler=True, - native_gatesets=["rigetti", "ionq"], - mapped_devices=["ibm_washington", "rigetti_aspen_m3"], - mapped_tket_placements=["graph"], - ) - res = backend.get_selected_file_paths(input_data) - assert isinstance(res, list) - assert len(res) >= 0 - - input_data = BenchmarkConfiguration( - min_qubits=2, - max_qubits=5, - indices_benchmarks=[23], - indep_qiskit_compiler=True, - indep_tket_compiler=True, - nativegates_qiskit_compiler=True, - nativegates_tket_compiler=False, - mapped_qiskit_compiler=True, - mapped_tket_compiler=True, - native_gatesets=["rigetti", "ionq", "oqc", "ibm", "quantinuum"], - mapped_devices=[ - "ibm_montreal", - "rigetti_aspen_m3", - "ionq_harmony", - "ionq_aria1", - "ocq_lucy", - "quantinuum_h2", - ], - mapped_tket_placements=["graph", "line"], - native_qiskit_opt_lvls=[0, 3], - mapped_qiskit_opt_lvls=[0, 3], - ) - res = backend.get_selected_file_paths(input_data) - assert isinstance(res, list) - assert len(res) >= 0 - - input_data = BenchmarkConfiguration( - min_qubits=2, - max_qubits=130, - indices_benchmarks=[1], - indep_qiskit_compiler=False, - indep_tket_compiler=False, - nativegates_qiskit_compiler=True, - nativegates_tket_compiler=True, - mapped_qiskit_compiler=True, - mapped_tket_compiler=True, - ) - res = backend.get_selected_file_paths(input_data) - assert isinstance(res, list) - assert len(res) >= 0 - - -def test_streaming_zip() -> None: - """Test the streaming_zip function.""" - backend = Backend() - backend.read_mqtbench_all_zip( - skip_question=True, - target_location=str(Path("./tests").resolve()), - ) - res = backend.generate_zip_ephemeral_chunks(filenames=["ghz_indep_qiskit_2.qasm", "ghz_indep_tket_2.qasm"]) - assert list(res) - - with pytest.raises(KeyError): - assert not list(backend.generate_zip_ephemeral_chunks(filenames=["not_existing_file.qasm"])) - - -def test_flask_server() -> None: - """Test the flask server.""" - with resources.as_file(benchviewer) as benchviewer_path: - benchviewer_location = benchviewer_path - target_location = str(Path("./tests").resolve()) - - Server( - skip_question=True, - activate_logging=False, - target_location=target_location, - ) - - paths_to_check = [ - "static/files/MQTBench_all.zip", - "templates/benchmark_description.html", - "templates/index.html", - "templates/legal.html", - "templates/description.html", - ] - for path in paths_to_check: - assert (benchviewer_location / path).is_file() - - with app.test_client() as c: - success_code = 200 - links_to_check = [ - "/mqtbench/index", - "/mqtbench/download", - "/mqtbench/legal", - "/mqtbench/description", - "/mqtbench/benchmark_description", - ] - for link in links_to_check: - assert c.get(link).status_code == success_code diff --git a/frontend/tests/test_pregenerated_zip.py b/frontend/tests/test_pregenerated_zip.py deleted file mode 100644 index 69dc2dae5..000000000 --- a/frontend/tests/test_pregenerated_zip.py +++ /dev/null @@ -1,51 +0,0 @@ -"""Test the Flask server with the pregenerated zip file.""" - -from __future__ import annotations - -import os -from importlib import resources - -import pytest - -from mqt.bench import utils -from mqt.bench.viewer import Server -from mqt.bench.viewer.main import app - -# only run test when executed on GitHub runner -IN_GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS") == "true" - - -@pytest.mark.skipif(not IN_GITHUB_ACTIONS, reason="Only run this test on GitHub runner") -def test_flask_server_with_pregenerated_zip() -> None: - """Test the Flask server with the pregenerated zip file.""" - benchviewer = resources.files("mqt.bench.viewer") - with resources.as_file(benchviewer) as benchviewer_path: - benchviewer_location = benchviewer_path - - Server( - skip_question=True, - activate_logging=False, - target_location=str(utils.get_zip_folder_path()), - ) - - paths_to_check = [ - "static/files/MQTBench_all.zip", - "templates/benchmark_description.html", - "templates/index.html", - "templates/legal.html", - "templates/description.html", - ] - for path in paths_to_check: - assert (benchviewer_location / path).is_file() - - with app.test_client() as c: - success_code = 200 - links_to_check = [ - "/mqtbench/index", - "/mqtbench/download", - "/mqtbench/legal", - "/mqtbench/description", - "/mqtbench/benchmark_description", - ] - for link in links_to_check: - assert c.get(link).status_code == success_code diff --git a/frontend/uv.lock b/frontend/uv.lock deleted file mode 100644 index db05af962..000000000 --- a/frontend/uv.lock +++ /dev/null @@ -1,1536 +0,0 @@ -version = 1 -requires-python = ">=3.10" -resolution-markers = [ - "python_full_version < '3.11'", - "python_full_version == '3.11.*'", - "python_full_version >= '3.12'", -] - -[[package]] -name = "annotated-types" -version = "0.7.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 } -wheels = [ - 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"qiskit_optimization>=0.6", - "qiskit_nature[pyscf]>=0.7", - "qiskit_finance>=0.4.1", + "qiskit_qasm3_import>=0.5.0", "networkx>=2.8.8", "joblib>=1.3.0", "numpy>=1.26; python_version >= '3.12'", "numpy>=1.24; python_version >= '3.11'", "numpy>=1.22", + "scikit-learn>=1.5.2", ] @@ -66,6 +65,7 @@ docs = [ "sphinxcontrib-bibtex>=2.4.2", "sphinxcontrib-svg2pdfconverter>=1.2", "sphinxext-opengraph>=0.9", + "jupyter_sphinx", "ipython", "ipykernel", "nbsphinx", @@ -114,7 +114,7 @@ filterwarnings = [ # TKET Warnings 'ignore:.*The pytket Circuit contains implicit qubit permutations*.:UserWarning:pytket.extensions.qiskit.qiskit_convert', # Qiskit 1.3 deprecations - 'ignore:.*The property ``qiskit.dagcircuit.dagcircuit.DAGCircuit.*`` is deprecated as of qiskit 1.3.0.*:DeprecationWarning:qiskit.*', + 'ignore:.*The property ``qiskit.dagcircuit.dagcircuit.DAGCircuit.*`` is deprecated as of qiskit 1.3.0.*:DeprecationWarning:', 'ignore:.*The class ``qiskit.pulse.*`` is deprecated as of Qiskit 1.3.*:DeprecationWarning:qiskit.*', 'ignore:.*The class ``qiskit.qobj.*`` is deprecated as of Qiskit 1.3.*:DeprecationWarning:qiskit.*', 'ignore:.*The property ``qiskit.transpiler.target.*`` is deprecated as of Qiskit 1.3.*:DeprecationWarning:qiskit.*', diff --git a/src/mqt/bench/__init__.py b/src/mqt/bench/__init__.py index 553c99535..295931611 100644 --- a/src/mqt/bench/__init__.py +++ b/src/mqt/bench/__init__.py @@ -9,13 +9,11 @@ from mqt.bench.benchmark_generator import ( CompilerSettings, QiskitSettings, - TKETSettings, get_benchmark, ) __all__ = [ "CompilerSettings", "QiskitSettings", - "TKETSettings", "get_benchmark", ] diff --git a/src/mqt/bench/benchmark_generator.py b/src/mqt/bench/benchmark_generator.py index 4c2a9e526..1ea9e3317 100644 --- a/src/mqt/bench/benchmark_generator.py +++ b/src/mqt/bench/benchmark_generator.py @@ -16,13 +16,14 @@ from . import qiskit_helper, tket_helper from .devices import ( get_available_device_names, - get_available_provider_names, - get_available_providers, + get_available_devices, + get_available_native_gatesets, get_device_by_name, - get_provider_by_name, + get_native_gateset_by_name, ) from .utils import ( get_default_config_path, + get_default_qasm_output_path, get_module_for_benchmark, get_supported_benchmarks, get_supported_compilers, @@ -35,8 +36,9 @@ from pytket.circuit import Circuit + from .devices import Gateset + from dataclasses import dataclass -from importlib import resources class Benchmark(TypedDict, total=False): @@ -65,19 +67,11 @@ class QiskitSettings: optimization_level: int = 1 -@dataclass -class TKETSettings: - """Data class for the TKET compiler settings.""" - - placement: str = "lineplacement" - - @dataclass class CompilerSettings: """Data class for the compiler settings.""" qiskit: QiskitSettings | None = None - tket: TKETSettings | None = None class BenchmarkGenerator: @@ -92,7 +86,7 @@ def __init__(self, cfg_path: str | None = None, qasm_output_path: str | None = N print("Read config successful") self.timeout = self.cfg["timeout"] if qasm_output_path is None: - self.qasm_output_path = str(resources.files("mqt.bench") / "viewer" / "static" / "files" / "qasm_output") + self.qasm_output_path = get_default_qasm_output_path() else: self.qasm_output_path = qasm_output_path @@ -134,15 +128,6 @@ def define_benchmark_instances(self, benchmark: Benchmark) -> None: elif benchmark["name"] == "shor": instances = [lib.get_instance(choice) for choice in benchmark["instances"]] - elif benchmark["name"] in ("routing", "tsp"): - instances = range(benchmark["min_nodes"], benchmark["max_nodes"]) - - elif benchmark["name"] == "groundstate": - instances = benchmark["instances"] - - elif benchmark["name"] in ("pricingcall", "pricingput"): - instances = range(benchmark["min_uncertainty"], benchmark["max_uncertainty"]) - else: instances = range( benchmark["min_qubits"], @@ -159,6 +144,7 @@ def generate_all_benchmarks( file_precheck: bool, ) -> None: """Generate all benchmarks for a given benchmark.""" + self.generate_alg_levels(file_precheck, lib, parameter_space) self.generate_indep_levels(file_precheck, lib, parameter_space) self.generate_native_gates_levels(file_precheck, lib, parameter_space) self.generate_mapped_levels(file_precheck, lib, parameter_space) @@ -170,8 +156,8 @@ def generate_mapped_levels( parameter_space: list[tuple[int, str]] | list[int] | list[str] | range, ) -> None: """Generate mapped level benchmarks for a given benchmark.""" - for provider in get_available_providers(): - for device in provider.get_available_devices(): + for qasm_format in ["qasm2", "qasm3"]: + for device in get_available_devices(): for opt_level in [0, 1, 2, 3]: for parameter_instance in parameter_space: qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) @@ -190,6 +176,7 @@ def generate_mapped_levels( file_precheck, False, self.qasm_output_path, + qasm_format, ], ) if not res: @@ -197,30 +184,21 @@ def generate_mapped_levels( else: break - for lineplacement in (False, True): - for parameter_instance in parameter_space: - qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) - if not qc: - break - assert isinstance(qc, QuantumCircuit) - if qc.num_qubits <= device.num_qubits: - res = timeout_watcher( - tket_helper.get_mapped_level, - self.timeout, - [ - qc, - qc.num_qubits, - device, - lineplacement, - file_precheck, - False, - self.qasm_output_path, - ], - ) - if not res: - break - else: + for parameter_instance in parameter_space: + qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) + if not qc: + break + assert isinstance(qc, QuantumCircuit) + if qc.num_qubits <= device.num_qubits: + res = timeout_watcher( + tket_helper.get_mapped_level, + self.timeout, + [qc, qc.num_qubits, device, file_precheck, False, self.qasm_output_path, qasm_format], + ) + if not res: break + else: + break def generate_native_gates_levels( self, @@ -229,48 +207,73 @@ def generate_native_gates_levels( parameter_space: list[tuple[int, str]] | list[int] | list[str] | range, ) -> None: """Generate native gates level benchmarks for a given benchmark.""" - for provider in get_available_providers(): - for opt_level in [0, 1, 2, 3]: + for qasm_format in ["qasm2", "qasm3"]: + for native_gateset in get_available_native_gatesets(): + for opt_level in [0, 1, 2, 3]: + for parameter_instance in parameter_space: + qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) + if not qc: + break + assert isinstance(qc, QuantumCircuit) + res = timeout_watcher( + qiskit_helper.get_native_gates_level, + self.timeout, + [ + qc, + native_gateset, + qc.num_qubits, + opt_level, + file_precheck, + False, + self.qasm_output_path, + qasm_format, + ], + ) + if not res: + break + for parameter_instance in parameter_space: qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) if not qc: break assert isinstance(qc, QuantumCircuit) res = timeout_watcher( - qiskit_helper.get_native_gates_level, + tket_helper.get_native_gates_level, self.timeout, [ qc, - provider, + native_gateset, qc.num_qubits, - opt_level, file_precheck, False, self.qasm_output_path, + qasm_format, ], ) if not res: break + def generate_alg_levels( + self, + file_precheck: bool, + lib: ModuleType, + parameter_space: list[tuple[int, str]] | list[int] | list[str] | range, + ) -> None: + """Generate algorithm level benchmarks for a given benchmark.""" + for function in [qiskit_helper.get_alg_level]: for parameter_instance in parameter_space: - qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) - if not qc: - break - assert isinstance(qc, QuantumCircuit) - res = timeout_watcher( - tket_helper.get_native_gates_level, - self.timeout, - [ - qc, - provider, - qc.num_qubits, - file_precheck, - False, - self.qasm_output_path, - ], - ) - if not res: - break + for qasm_format in ["qasm3"]: + qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) + if not qc: + break + assert isinstance(qc, QuantumCircuit) + res = timeout_watcher( + function, + self.timeout, + [qc, qc.num_qubits, file_precheck, False, self.qasm_output_path, qasm_format], + ) + if not res: + break def generate_indep_levels( self, @@ -281,17 +284,18 @@ def generate_indep_levels( """Generate independent level benchmarks for a given benchmark.""" for function in [qiskit_helper.get_indep_level, tket_helper.get_indep_level]: for parameter_instance in parameter_space: - qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) - if not qc: - break - assert isinstance(qc, QuantumCircuit) - res = timeout_watcher( - function, - self.timeout, - [qc, qc.num_qubits, file_precheck, False, self.qasm_output_path], - ) - if not res: - break + for qasm_format in ["qasm2", "qasm3"]: + qc = timeout_watcher(lib.create_circuit, self.timeout, parameter_instance) + if not qc: + break + assert isinstance(qc, QuantumCircuit) + res = timeout_watcher( + function, + self.timeout, + [qc, qc.num_qubits, file_precheck, False, self.qasm_output_path, qasm_format], + ) + if not res: + break @overload @@ -302,7 +306,7 @@ def get_benchmark( benchmark_instance_name: str | None = None, compiler: Literal["qiskit"] = "qiskit", compiler_settings: CompilerSettings | None = None, - provider_name: str = "ibm", + gateset: str | Gateset = "ibm_falcon", device_name: str = "ibm_washington", **kwargs: str, ) -> QuantumCircuit: ... @@ -316,7 +320,7 @@ def get_benchmark( benchmark_instance_name: str | None = None, compiler: Literal["tket"] = "tket", compiler_settings: CompilerSettings | None = None, - provider_name: str = "ibm", + gateset: str | Gateset = "ibm_falcon", device_name: str = "ibm_washington", **kwargs: str, ) -> Circuit: ... @@ -330,7 +334,7 @@ def get_benchmark( benchmark_instance_name: str | None = None, compiler: str = "qiskit", compiler_settings: CompilerSettings | None = None, - provider_name: str = "ibm", + gateset: str | Gateset = "ibm_falcon", device_name: str = "ibm_washington", **kwargs: str, ) -> QuantumCircuit | Circuit: ... @@ -343,7 +347,7 @@ def get_benchmark( benchmark_instance_name: str | None = None, compiler: str = "qiskit", compiler_settings: CompilerSettings | None = None, - provider_name: str = "ibm", + gateset: str | Gateset = "ibm_falcon", device_name: str = "ibm_washington", **kwargs: str, ) -> QuantumCircuit | Circuit: @@ -353,10 +357,10 @@ def get_benchmark( benchmark_name: name of the to be generated benchmark level: Choice of level, either as a string ("alg", "indep", "nativegates" or "mapped") or as a number between 0-3 where 0 corresponds to "alg" level and 3 to "mapped" level circuit_size: Input for the benchmark creation, in most cases this is equal to the qubit number - benchmark_instance_name: Input selection for some benchmarks, namely "groundstate" and "shor" + benchmark_instance_name: Input selection for some benchmarks, namely and "shor" compiler: "qiskit" or "tket" - compiler_settings: Data class containing the respective compiler settings for the specified compiler (e.g., optimization level for Qiskit or placement for TKET) - provider_name: "ibm", "rigetti", "ionq", "oqc", or "quantinuum" (required for "nativegates" level) + compiler_settings: Data class containing the respective compiler settings for the specified compiler (e.g., optimization level for Qiskit) + gateset: Name of the gateset or tuple containing the name of the gateset and the gateset itself (required for "nativegates" level) device_name: "ibm_washington", "ibm_montreal", "rigetti_aspen_m3", "ionq_harmony", "ionq_aria1", "oqc_lucy", "quantinuum_h2" (required for "mapped" level) kwargs: Additional arguments for the benchmark generation @@ -371,11 +375,11 @@ def get_benchmark( msg = f"Selected level must be in {get_supported_levels()}." raise ValueError(msg) - if benchmark_name not in ["shor", "groundstate"] and not (isinstance(circuit_size, int) and circuit_size > 0): + if benchmark_name != "shor" and not (isinstance(circuit_size, int) and circuit_size > 0): msg = "circuit_size must be None or int for this benchmark." raise ValueError(msg) - if benchmark_name in ["shor", "groundstate"] and not isinstance(benchmark_instance_name, str): + if benchmark_name == "shor" and not isinstance(benchmark_instance_name, str): msg = "benchmark_instance_name must be defined for this benchmark." raise ValueError(msg) @@ -388,9 +392,6 @@ def get_benchmark( anc_mode = "noancilla" elif "v-chain" in benchmark_name: anc_mode = "v-chain" - else: - msg = "Either `noancilla` or `v-chain` must be specified for ancillary mode of Grover and QWalk benchmarks." - raise ValueError(msg) qc = lib.create_circuit(circuit_size, ancillary_mode=anc_mode) @@ -398,9 +399,6 @@ def get_benchmark( to_be_factored_number, a_value = lib.get_instance(benchmark_instance_name) qc = lib.create_circuit(to_be_factored_number, a_value) - elif benchmark_name == "groundstate": - qc = lib.create_circuit(benchmark_instance_name) - else: qc = lib.create_circuit(circuit_size) @@ -414,7 +412,7 @@ def get_benchmark( raise ValueError(msg) if compiler_settings is None: - compiler_settings = CompilerSettings(QiskitSettings(), TKETSettings()) + compiler_settings = CompilerSettings(QiskitSettings()) elif not isinstance(compiler_settings, CompilerSettings): msg = "compiler_settings must be of type CompilerSettings or None." # type: ignore[unreachable] raise ValueError(msg) @@ -428,16 +426,14 @@ def get_benchmark( native_gates_level = 2 if level in ("nativegates", native_gates_level): - if provider_name not in get_available_provider_names(): - msg = f"Selected provider_name must be in {get_available_provider_names()}." - raise ValueError(msg) - provider = get_provider_by_name(provider_name) + if isinstance(gateset, str): + gateset = get_native_gateset_by_name(gateset) if compiler == "qiskit": assert compiler_settings.qiskit is not None opt_level = compiler_settings.qiskit.optimization_level - return qiskit_helper.get_native_gates_level(qc, provider, circuit_size, opt_level, False, True) + return qiskit_helper.get_native_gates_level(qc, gateset, circuit_size, opt_level, False, True) if compiler == "tket": - return tket_helper.get_native_gates_level(qc, provider, circuit_size, False, True) + return tket_helper.get_native_gates_level(qc, gateset, circuit_size, False, True) if device_name not in get_available_device_names(): msg = f"Selected device_name must be in {get_available_device_names()}." @@ -459,20 +455,14 @@ def get_benchmark( True, ) if compiler == "tket": - assert compiler_settings.tket is not None - placement = compiler_settings.tket.placement.lower() - lineplacement = placement == "lineplacement" return tket_helper.get_mapped_level( qc, circuit_size, device, - lineplacement, False, True, ) - - msg = f"Invalid level specified. Must be in {get_supported_levels()}." - raise ValueError(msg) + return None def generate(num_jobs: int = -1) -> None: diff --git a/src/mqt/bench/benchmarks/__init__.py b/src/mqt/bench/benchmarks/__init__.py index d77918927..00a5e8413 100644 --- a/src/mqt/bench/benchmarks/__init__.py +++ b/src/mqt/bench/benchmarks/__init__.py @@ -5,24 +5,3 @@ """ from __future__ import annotations - -from mqt.bench.benchmarks.qiskit_application_finance import ( - portfolioqaoa, - portfoliovqe, - pricingcall, - pricingput, -) -from mqt.bench.benchmarks.qiskit_application_ml import qnn -from mqt.bench.benchmarks.qiskit_application_nature import groundstate -from mqt.bench.benchmarks.qiskit_application_optimization import routing, tsp - -__all__ = [ - "groundstate", - "portfolioqaoa", - "portfoliovqe", - "pricingcall", - "pricingput", - "qnn", - "routing", - "tsp", -] diff --git a/src/mqt/bench/benchmarks/ae.py b/src/mqt/bench/benchmarks/ae.py index c08327ed7..c3141db2f 100644 --- a/src/mqt/bench/benchmarks/ae.py +++ b/src/mqt/bench/benchmarks/ae.py @@ -4,66 +4,76 @@ import numpy as np from qiskit import QuantumCircuit -from qiskit_algorithms import AmplitudeEstimation, EstimationProblem -def create_circuit(num_qubits: int) -> QuantumCircuit: +def create_circuit(num_qubits: int, probability: float = 0.2) -> QuantumCircuit: """Returns a quantum circuit implementing Quantum Amplitude Estimation. Arguments: - num_qubits: number of qubits of the returned quantum circuit - """ - ae = AmplitudeEstimation( - num_eval_qubits=num_qubits - 1, # -1 because of the to be estimated qubit - ) - problem = get_estimation_problem() + num_qubits: Total number of qubits, including evaluation and target qubits. + probability: Probability of the "good" state. - qc = ae.construct_circuit(problem) - qc.name = "ae" - qc.measure_all() + Returns: + QuantumCircuit: The constructed amplitude estimation circuit. + """ + if num_qubits < 2: + msg = "Number of qubits must be at least 2 (1 evaluation + 1 target)." + raise ValueError(msg) - return qc + num_eval_qubits = num_qubits - 1 # Number of evaluation qubits + qc = QuantumCircuit(num_qubits, num_eval_qubits) + # Define the Bernoulli A operator + theta_p = 2 * np.arcsin(np.sqrt(probability)) + a = QuantumCircuit(1) + a.ry(theta_p, 0) -class BernoulliQ(QuantumCircuit): # type: ignore[misc] - """A circuit representing the Bernoulli Q operator.""" + # Define the Grover operator Q = -A S_0 A† S_f + def grover_operator() -> QuantumCircuit: + """Construct the Grover operator.""" + q = QuantumCircuit(1) + # Apply A + q.ry(theta_p, 0) + # Apply S0 (reflection around |0>) + q.z(0) + # Apply A† + q.ry(-theta_p, 0) + return q - def __init__(self, probability: float) -> None: - """Initialize the Bernoulli Q operator.""" - super().__init__(1) # circuit on 1 qubit + q = grover_operator() - self._theta_p = 2 * np.arcsin(np.sqrt(probability)) - self.ry(2 * self._theta_p, 0) + # Apply Hadamard gates to the evaluation qubits + qc.h(range(num_eval_qubits)) - def __eq__(self, other: object) -> bool: - """Return if the operators are equal.""" - return isinstance(other, BernoulliQ) and self._theta_p == other._theta_p + # Controlled applications of A and powers of Q + for i in range(num_eval_qubits): + qc.append(a.control(1), [i, num_eval_qubits]) # Controlled A + qc.append(q.control(1), [i, num_eval_qubits]) # Controlled powers of Q - def __hash__(self) -> int: - """Return a hash of the operator.""" - return hash(self._theta_p) + # Apply the inverse QFT to the evaluation qubits + qc.append(inverse_qft(num_eval_qubits), range(num_eval_qubits)) - def power(self, power: float, _matrix_power: bool = True) -> QuantumCircuit: - """Return a circuit implementing the power of the operator.""" - q_k = QuantumCircuit(1) - q_k.ry(2 * power * self._theta_p, 0) - return q_k + # Measure the evaluation qubits + qc.measure(range(num_eval_qubits), range(num_eval_qubits)) + qc.name = "ae" + return qc -def get_estimation_problem() -> EstimationProblem: - """Returns a estimation problem instance for a fixed p value.""" - p = 0.2 - """A circuit representing the Bernoulli A operator.""" - a = QuantumCircuit(1) - theta_p = 2 * np.arcsin(np.sqrt(p)) - a.ry(theta_p, 0) +def inverse_qft(num_qubits: int) -> QuantumCircuit: + """Constructs the inverse Quantum Fourier Transform circuit. - """A circuit representing the Bernoulli Q operator.""" - q = BernoulliQ(p) + Arguments: + num_qubits: Number of qubits. - return EstimationProblem( - state_preparation=a, # A operator - grover_operator=q, # Q operator - objective_qubits=[0], # the "good" state Psi1 is identified as measuring |1> in qubit 0 - ) + Returns: + QuantumCircuit: The inverse QFT circuit. + """ + qc = QuantumCircuit(num_qubits) + for i in range(num_qubits // 2): + qc.swap(i, num_qubits - i - 1) + for i in range(num_qubits): + qc.h(i) + for j in range(i + 1, num_qubits): + qc.cp(-np.pi / (2 ** (j - i)), j, i) + return qc diff --git a/src/mqt/bench/benchmarks/bv.py b/src/mqt/bench/benchmarks/bv.py new file mode 100644 index 000000000..a9c904693 --- /dev/null +++ b/src/mqt/bench/benchmarks/bv.py @@ -0,0 +1,73 @@ +"""Bernstein-Vazirani benchmark definition.""" + +from __future__ import annotations + +from qiskit import QuantumCircuit + + +def create_circuit(num_qubits: int, dynamic: bool = False, hidden_string: str | None = None) -> QuantumCircuit: + """Create a quantum circuit for the Bernstein-Vazirani algorithm. + + Arguments: + num_qubits: Total number of qubits in the circuit (including the flag qubit). + hidden_string: The hidden bitstring to be found (default: alternating pattern of 1 and 0). + dynamic: Whether to use a dynamic layout (default: False). + + Returns: + QuantumCircuit: Circuit implementing the Bernstein-Vazirani algorithm. + """ + # Generate a default hidden string if not provided + if hidden_string is None: + hidden_string = "".join([str(i % 2) for i in range(num_qubits - 1)]) + + # Ensure the hidden string matches the number of input qubits (excluding the flag qubit) + if len(hidden_string) != num_qubits - 1: + msg = "Length of hidden_string must be num_qubits - 1." + raise ValueError(msg) + + # Create a quantum circuit: num_qubits (flag + inputs) and num_qubits - 1 classical bits + circuit = QuantumCircuit(num_qubits, num_qubits - 1) + + # Prepare the flag qubit in the |1⟩ state + circuit.x(0) + + if dynamic: + # Dynamic layout: process one input qubit at a time + for i in range(num_qubits - 1): + # Apply Hadamard to the working qubit + circuit.h(1) + + # Apply controlled-Z based on the hidden bitstring + if hidden_string[i] == "1": + circuit.cz(1, 0) + + # Apply Hadamard to the working qubit again + circuit.h(1) + + # Measure the working qubit + circuit.measure(1, i) + + # Reset the working qubit if more rounds are needed + if i < num_qubits - 2: + circuit.reset(1) + else: + # Static layout: process all input qubits at once + # Apply Hadamard to all input qubits + for i in range(1, num_qubits): + circuit.h(i) + + # Apply controlled-Z gates based on the hidden bitstring + for i in range(1, num_qubits): + if hidden_string[i - 1] == "1": + circuit.cz(i, 0) + + # Apply Hadamard to all input qubits again + for i in range(1, num_qubits): + circuit.h(i) + + # Measure all input qubits + for i in range(1, num_qubits): + circuit.measure(i, i - 1) + circuit.name = "bv" + + return circuit diff --git a/src/mqt/bench/benchmarks/grover.py b/src/mqt/bench/benchmarks/grover.py index c290c1d56..f4b19c28c 100644 --- a/src/mqt/bench/benchmarks/grover.py +++ b/src/mqt/bench/benchmarks/grover.py @@ -5,7 +5,6 @@ import numpy as np from qiskit import AncillaRegister, QuantumCircuit, QuantumRegister from qiskit.circuit.library import GroverOperator -from qiskit_algorithms import Grover def create_circuit(num_qubits: int, ancillary_mode: str = "noancilla") -> QuantumCircuit: @@ -27,7 +26,7 @@ def create_circuit(num_qubits: int, ancillary_mode: str = "noancilla") -> Quantu oracle.mcp(np.pi, q, flag) operator = GroverOperator(oracle, mcx_mode=ancillary_mode) - iterations = Grover.optimal_num_iterations(1, num_qubits) + iterations = int(np.pi / 4 * np.sqrt(2**num_qubits)) num_qubits = operator.num_qubits - 1 # -1 because last qubit is "flag" qubit and already taken care of diff --git a/src/mqt/bench/benchmarks/qaoa.py b/src/mqt/bench/benchmarks/qaoa.py index addeb67fc..07aaac4f0 100644 --- a/src/mqt/bench/benchmarks/qaoa.py +++ b/src/mqt/bench/benchmarks/qaoa.py @@ -2,34 +2,48 @@ from __future__ import annotations -from typing import TYPE_CHECKING +import numpy as np +from qiskit import QuantumCircuit -from qiskit.primitives import Sampler -from qiskit_algorithms.minimum_eigensolvers import QAOA -from qiskit_algorithms.optimizers import SLSQP -from qiskit_optimization import QuadraticProgram -from mqt.bench.utils import get_examplary_max_cut_qp - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_qubits: int) -> QuantumCircuit: - """Returns a quantum circuit implementing the Quantum Approximation Optimization Algorithm for a specific max-cut example. +def create_circuit(num_qubits: int, repetitions: int = 2) -> QuantumCircuit: + """Constructs a quantum circuit implementing QAOA for a Max-Cut example with random parameters. Arguments: - num_qubits: number of qubits of the returned quantum circuit + num_qubits: Number of qubits in the circuit (equal to the number of graph nodes). + repetitions: Number of QAOA layers (repetitions of the ansatz). Returns: - QuantumCircuit: quantum circuit implementing the Quantum Approximation Optimization Algorithm + QuantumCircuit: Quantum circuit implementing QAOA. """ - qp = get_examplary_max_cut_qp(num_qubits) - assert isinstance(qp, QuadraticProgram) - - qaoa = QAOA(sampler=Sampler(), reps=2, optimizer=SLSQP(maxiter=25)) - qaoa_result = qaoa.compute_minimum_eigenvalue(qp.to_ising()[0]) - qc = qaoa.ansatz.assign_parameters(qaoa_result.optimal_point) + # Set the random number generator + rng = np.random.default_rng(10) + + # Example adjacency matrix for Max-Cut (toy problem) + adjacency_matrix = rng.integers(0, 2, size=(num_qubits, num_qubits)) + adjacency_matrix = np.triu(adjacency_matrix, 1) # Upper triangular part for undirected graph + + # Random initialization of parameters + gamma_values = rng.uniform(0, np.pi, repetitions) + beta_values = rng.uniform(0, np.pi, repetitions) + + # Initialize QAOA circuit + qc = QuantumCircuit(num_qubits) + + # Start in uniform superposition + qc.h(range(num_qubits)) + + # Define cost and mixer operators for each layer + for layer in range(repetitions): + # Cost Hamiltonian + for i in range(num_qubits): + for j in range(i + 1, num_qubits): + if adjacency_matrix[i, j] != 0: + qc.rzz(2 * gamma_values[layer], i, j) + + # Mixer Hamiltonian + for i in range(num_qubits): + qc.rx(2 * beta_values[layer], i) qc.name = "qaoa" diff --git a/src/mqt/bench/benchmarks/qiskit_application_finance/portfolioqaoa.py b/src/mqt/bench/benchmarks/qiskit_application_finance/portfolioqaoa.py deleted file mode 100644 index 9f49099f4..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_finance/portfolioqaoa.py +++ /dev/null @@ -1,55 +0,0 @@ -"""Portfolio QAOA benchmark definition. Code is based on https://qiskit.org/documentation/tutorials/finance/01_portfolio_optimization.html.""" - -from __future__ import annotations - -import datetime -from typing import TYPE_CHECKING - -from qiskit.primitives import Sampler -from qiskit_algorithms.minimum_eigensolvers import QAOA -from qiskit_algorithms.optimizers import COBYLA -from qiskit_finance.applications import PortfolioOptimization -from qiskit_finance.data_providers import RandomDataProvider -from qiskit_optimization.converters import QuadraticProgramToQubo - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_qubits: int) -> QuantumCircuit: - """Returns a quantum circuit of QAOA applied to a specific portfolio optimization task. - - Arguments: - num_qubits: number of qubits of the returned quantum circuit - """ - # set number of assets (= number of qubits) - num_assets = num_qubits - - # Generate expected return and covariance matrix from (random) time-series - stocks = [(f"TICKER{i}") for i in range(num_assets)] - data = RandomDataProvider( - tickers=stocks, - start=datetime.datetime(2016, 1, 1), - end=datetime.datetime(2016, 1, 30), - ) - data.run() - mu = data.get_period_return_mean_vector() - sigma = data.get_period_return_covariance_matrix() - - q = 0.5 # set risk factor - budget = num_assets // 2 # set budget - - portfolio = PortfolioOptimization(expected_returns=mu, covariances=sigma, risk_factor=q, budget=budget) - qp = portfolio.to_quadratic_program() - conv = QuadraticProgramToQubo() - qp_qubo = conv.convert(qp) - - cobyla = COBYLA() - cobyla.set_options(maxiter=25) - qaoa = QAOA(sampler=Sampler(), optimizer=cobyla, reps=3) - qaoa.random_seed = 10 - qaoa_result = qaoa.compute_minimum_eigenvalue(qp_qubo.to_ising()[0]) - qc = qaoa.ansatz.assign_parameters(qaoa_result.optimal_point) - - qc.name = "portfolioqaoa" - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_finance/portfoliovqe.py b/src/mqt/bench/benchmarks/qiskit_application_finance/portfoliovqe.py deleted file mode 100644 index 560eb4e2f..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_finance/portfoliovqe.py +++ /dev/null @@ -1,59 +0,0 @@ -"""Portfolio VQE benchmark definition. Code is based on https://qiskit.org/documentation/tutorials/finance/01_portfolio_optimization.html.""" - -from __future__ import annotations - -import datetime -from typing import TYPE_CHECKING - -from qiskit.circuit.library import TwoLocal -from qiskit.primitives import Estimator -from qiskit_algorithms.minimum_eigensolvers import VQE -from qiskit_algorithms.optimizers import COBYLA -from qiskit_finance.applications import PortfolioOptimization -from qiskit_finance.data_providers import RandomDataProvider -from qiskit_optimization.converters import QuadraticProgramToQubo - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_qubits: int) -> QuantumCircuit: - """Returns a quantum circuit of VQE applied to a specific portfolio optimization task. - - Arguments: - num_qubits: number of qubits of the returned quantum circuit - """ - # set number of assets (= number of qubits) - num_assets = num_qubits - - # Generate expected return and covariance matrix from (random) time-series - stocks = [(f"TICKER{i}") for i in range(num_assets)] - data = RandomDataProvider( - tickers=stocks, - start=datetime.datetime(2016, 1, 1), - end=datetime.datetime(2016, 1, 30), - ) - data.run() - mu = data.get_period_return_mean_vector() - sigma = data.get_period_return_covariance_matrix() - - q = 0.5 # set risk factor - budget = num_assets // 2 # set budget - - portfolio = PortfolioOptimization(expected_returns=mu, covariances=sigma, risk_factor=q, budget=budget) - qp = portfolio.to_quadratic_program() - conv = QuadraticProgramToQubo() - qp_qubo = conv.convert(qp) - cobyla = COBYLA() - cobyla.set_options(maxiter=25) - ry = TwoLocal(num_assets, "ry", "cz", reps=3, entanglement="full") - - vqe = VQE(ansatz=ry, optimizer=cobyla, estimator=Estimator()) - vqe.random_seed = 10 - vqe_result = vqe.compute_minimum_eigenvalue(qp_qubo.to_ising()[0]) - qc = vqe.ansatz.assign_parameters(vqe_result.optimal_point) - - qc.name = "portfoliovqe" - qc.measure_all() - - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_finance/pricingcall.py b/src/mqt/bench/benchmarks/qiskit_application_finance/pricingcall.py deleted file mode 100644 index d0898daa1..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_finance/pricingcall.py +++ /dev/null @@ -1,67 +0,0 @@ -"""Pricing call benchmark definition. Code is based on https://qiskit.org/documentation/tutorials/finance/03_european_call_option_pricing.html.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING - -import numpy as np -from qiskit_algorithms import IterativeAmplitudeEstimation -from qiskit_finance.applications.estimation import EuropeanCallPricing -from qiskit_finance.circuit.library import LogNormalDistribution - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_uncertainty_qubits: int = 5) -> QuantumCircuit: - """Returns a quantum circuit of Iterative Amplitude Estimation applied to a problem instance of pricing call options. - - Arguments: - num_uncertainty_qubits: number of qubits to measure uncertainty - """ - # parameters for considered random distribution - s = 2.0 # initial spot price - vol = 0.4 # volatility of 40% - r = 0.05 # annual interest rate of 4% - t = 40 / 365 # 40 days to maturity - - mu = (r - 0.5 * vol**2) * t + np.log(s) - sigma = vol * np.sqrt(t) - mean = np.exp(mu + sigma**2 / 2) - variance = (np.exp(sigma**2) - 1) * np.exp(2 * mu + sigma**2) - stddev = np.sqrt(variance) - - # lowest and highest value considered for the spot price; in between, an equidistant discretization is considered. - low = np.maximum(0, mean - 3 * stddev) - high = mean + 3 * stddev - - # construct A operator for QAE for the payoff function by - # composing the uncertainty model and the objective - uncertainty_model = LogNormalDistribution(num_uncertainty_qubits, mu=mu, sigma=sigma**2, bounds=(low, high)) - - # set the strike price (should be within the low and the high value of the uncertainty) - strike_price = 1.896 - - # set the approximation scaling for the payoff function - c_approx = 0.25 - - european_call_pricing = EuropeanCallPricing( - num_state_qubits=num_uncertainty_qubits, - strike_price=strike_price, - rescaling_factor=c_approx, - bounds=(low, high), - uncertainty_model=uncertainty_model, - ) - - # set target precision and confidence level - epsilon = 0.01 - alpha = 0.05 - - problem = european_call_pricing.to_estimation_problem() - iae = IterativeAmplitudeEstimation(epsilon, alpha=alpha) - - qc = iae.construct_circuit(problem) - qc.measure_all() - qc.name = "pricingcall" - - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_finance/pricingput.py b/src/mqt/bench/benchmarks/qiskit_application_finance/pricingput.py deleted file mode 100644 index 16700f7cd..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_finance/pricingput.py +++ /dev/null @@ -1,84 +0,0 @@ -"""Pricing put benchmark definition. Code is based on https://qiskit.org/documentation/tutorials/finance/04_european_put_option_pricing.html.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING - -import numpy as np -from qiskit.circuit.library import LinearAmplitudeFunction -from qiskit_algorithms import EstimationProblem, IterativeAmplitudeEstimation -from qiskit_finance.circuit.library import LogNormalDistribution - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_uncertainty_qubits: int = 5) -> QuantumCircuit: - """Returns a quantum circuit of Iterative Amplitude Estimation applied to a problem instance of pricing put options. - - Arguments: - num_uncertainty_qubits: number of qubits to measure uncertainty - """ - # parameters for considered random distribution - s = 2.0 # initial spot price - vol = 0.4 # volatility of 40% - r = 0.05 # annual interest rate of 4% - t = 40 / 365 # 40 days to maturity - - mu = (r - 0.5 * vol**2) * t + np.log(s) - sigma = vol * np.sqrt(t) - mean = np.exp(mu + sigma**2 / 2) - variance = (np.exp(sigma**2) - 1) * np.exp(2 * mu + sigma**2) - stddev = np.sqrt(variance) - - # lowest and highest value considered for the spot price; in between, an equidistant discretization is considered. - low = np.maximum(0, mean - 3 * stddev) - high = mean + 3 * stddev - - # construct A operator for QAE for the payoff function by - # composing the uncertainty model and the objective - uncertainty_model = LogNormalDistribution(num_uncertainty_qubits, mu=mu, sigma=sigma**2, bounds=(low, high)) - - # set the strike price (should be within the low and the high value of the uncertainty) - strike_price = 2.126 - - # set the approximation scaling for the payoff function - rescaling_factor = 0.25 - - # setup piecewise linear objective fcuntion - breakpoints = [low, strike_price] - slopes = [-1, 0] - offsets = [strike_price - low, 0] - f_min = 0 - f_max = strike_price - low - european_put_objective = LinearAmplitudeFunction( - num_uncertainty_qubits, - slopes, - offsets, - domain=(low, high), - image=(f_min, f_max), - breakpoints=breakpoints, - rescaling_factor=rescaling_factor, - ) - - # construct A operator for QAE for the payoff function by - # composing the uncertainty model and the objective - european_put = european_put_objective.compose(uncertainty_model, front=True) - - # set target precision and confidence level - epsilon = 0.01 - alpha = 0.05 - - problem = EstimationProblem( - state_preparation=european_put, - objective_qubits=[num_uncertainty_qubits], - post_processing=european_put_objective.post_processing, - ) - - iae = IterativeAmplitudeEstimation(epsilon, alpha=alpha) - qc = iae.construct_circuit(problem) - - qc.measure_all() - qc.name = "pricingput" - - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_nature/groundstate.py b/src/mqt/bench/benchmarks/qiskit_application_nature/groundstate.py deleted file mode 100644 index 10719d51f..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_nature/groundstate.py +++ /dev/null @@ -1,68 +0,0 @@ -"""Groundstate benchmark definition. Code is based on https://qiskit.org/documentation/nature/tutorials/03_ground_state_solvers.html.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING - -from qiskit.circuit.library import TwoLocal -from qiskit.exceptions import MissingOptionalLibraryError -from qiskit.primitives import Estimator -from qiskit_algorithms.minimum_eigensolvers import VQE -from qiskit_algorithms.optimizers import COBYLA -from qiskit_nature.second_q.drivers import PySCFDriver -from qiskit_nature.second_q.mappers import JordanWignerMapper - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(choice: str) -> QuantumCircuit: - """Returns a quantum circuit implementing Ground State Estimation. - - Arguments: - choice: problem instance for which the ground state shall be estimated - """ - molecule = get_molecule(choice) - - try: - driver = PySCFDriver(atom=molecule) - except MissingOptionalLibraryError: - msg = ( - "PySCF is not installed (most likely because you are on a Windows system)." - "Please either download benchmark from https://www.cda.cit.tum.de/mqtbench/ or try to manually install PySCF." - ) - raise ImportError(msg) from None - - es_problem = driver.run() - mapper = JordanWignerMapper() - second_q_op = es_problem.second_q_ops() - operator = mapper.map(second_q_op[0]) - - tl_circuit = TwoLocal( - rotation_blocks=["h", "rx"], - entanglement_blocks="cz", - entanglement="full", - reps=2, - parameter_prefix="y", - ) - - another_solver = VQE(ansatz=tl_circuit, estimator=Estimator(), optimizer=COBYLA(maxiter=25)) - - result = another_solver.compute_minimum_eigenvalue(operator) - qc = another_solver.ansatz.assign_parameters(result.optimal_point) - - qc.name = "groundstate" - qc.name = qc.name + "_" + choice - qc.measure_all() - - return qc - - -def get_molecule(benchmark_instance_name: str) -> list[str]: - """Returns a Molecule object depending on the parameter value.""" - m_1 = ["H 0.0 0.0 0.0", "H 0.0 0.0 0.735"] - m_2 = ["Li 0.0 0.0 0.0", "H 0.0 0.0 2.5"] - m_3 = ["O 0.0 0.0 0.0", "H 0.586, 0.757, 0.0", "H 0.586, -0.757, 0.0"] - instances = {"small": m_1, "medium": m_2, "large": m_3} - - return instances[benchmark_instance_name] diff --git a/src/mqt/bench/benchmarks/qiskit_application_optimization/routing.py b/src/mqt/bench/benchmarks/qiskit_application_optimization/routing.py deleted file mode 100644 index c025ca47f..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_optimization/routing.py +++ /dev/null @@ -1,167 +0,0 @@ -"""Routing benchmark definition. Code is based on https://qiskit.org/documentation/tutorials/optimization/7_examples_vehicle_routing.html.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING, cast - -import numpy as np -from qiskit.circuit.library import RealAmplitudes -from qiskit.primitives import Estimator -from qiskit_algorithms.minimum_eigensolvers import VQE -from qiskit_algorithms.optimizers import SLSQP -from qiskit_optimization import QuadraticProgram - -if TYPE_CHECKING: # pragma: no cover - from numpy.typing import NDArray - from qiskit import QuantumCircuit - from qiskit_optimization.problems import LinearExpression, QuadraticExpression - - -class Initializer: - """Initializes the problem by randomly generating the instance.""" - - def __init__(self, n: int) -> None: - """Initializes the problem by randomly generating the instance.""" - self.n = n - - def generate_instance( - self, - ) -> tuple[ - NDArray[np.float64], - NDArray[np.float64], - NDArray[np.float64], - ]: - """Generates a random instance of the problem.""" - n = self.n - rng = np.random.default_rng(10) - - xc = (rng.random(n) - 0.5) * 10 - yc = (rng.random(n) - 0.5) * 10 - - instance = np.zeros([n, n]) - for ii in range(n): - for jj in range(ii + 1, n): - instance[ii, jj] = (xc[ii] - xc[jj]) ** 2 + (yc[ii] - yc[jj]) ** 2 - instance[jj, ii] = instance[ii, jj] - - return xc, yc, instance - - -class QuantumOptimizer: - """Class to solve the problem using a quantum optimizer.""" - - def __init__(self, instance: NDArray[np.float64], n: int, k: int) -> None: - """Initializes the class to solve the problem using a quantum optimizer.""" - self.instance = instance - self.n = n - self.k = k - - def binary_representation( - self, x_sol: NDArray[np.float64] - ) -> tuple[NDArray[np.float64], NDArray[np.float64], float, float]: - """Returns the binary representation of the problem.""" - instance = self.instance - n = self.n - k = self.k - - a = np.max(instance) * 100 # A parameter of cost function - - # Determine the weights w - instance_vec = instance.reshape(n**2) - w_list = [instance_vec[x] for x in range(n**2) if instance_vec[x] > 0] - w = np.zeros(n * (n - 1)) - for ii in range(len(w_list)): - w[ii] = w_list[ii] - - # Some variables I will use - id_n = np.eye(n) - im_n_1 = np.ones([n - 1, n - 1]) - iv_n_1 = np.ones(n) - iv_n_1[0] = 0 - iv_n = np.ones(n - 1) - neg_iv_n_1 = np.ones(n) - iv_n_1 - - v = np.zeros([n, n * (n - 1)]) - for ii in range(n): - count = ii - 1 - for jj in range(n * (n - 1)): - if jj // (n - 1) == ii: - count = ii - - if jj // (n - 1) != ii and jj % (n - 1) == count: - v[ii][jj] = 1.0 - - vn = np.sum(v[1:], axis=0) - - # Q defines the interactions between variables - q = a * (np.kron(id_n, im_n_1) + np.dot(v.T, v)) - - # g defines the contribution from the individual variables - g = w - 2 * a * (np.kron(iv_n_1, iv_n) + vn.T) - 2 * a * k * (np.kron(neg_iv_n_1, iv_n) + v[0].T) - - # c is the constant offset - c = 2 * a * (n - 1) + 2 * a * (k**2) - - try: - # Evaluates the cost distance from a binary representation of a path - def fun(x: NDArray[np.float64]) -> float: - return cast( - "float", - np.dot(np.around(x), np.dot(q, np.around(x))) + np.dot(g, np.around(x)) + c, - ) - - cost = fun(x_sol) - except Exception: - cost = 0 - - return q, g, cast("float", c), cost - - def construct_problem(self, q: QuadraticExpression, g: LinearExpression, c: float) -> QuadraticProgram: - """Constructs the problem.""" - qp = QuadraticProgram() - for i in range(self.n * (self.n - 1)): - qp.binary_var(str(i)) - - qp.objective.quadratic = q - qp.objective.linear = g - qp.objective.constant = c - return qp - - def solve_problem(self, qp: QuadraticProgram) -> QuantumCircuit: - """Solves the problem.""" - ansatz = RealAmplitudes(self.n) - vqe = VQE(estimator=Estimator(), optimizer=SLSQP(maxiter=25), ansatz=ansatz) - vqe.random_seed = 10 - vqe_result = vqe.compute_minimum_eigenvalue(qp.to_ising()[0]) - return vqe.ansatz.assign_parameters(vqe_result.optimal_point) - - -def create_circuit(num_nodes: int = 3, num_vehs: int = 2) -> QuantumCircuit: - """Returns a quantum circuit solving a routing problem. - - Arguments: - num_nodes: number of to be visited nodes - num_vehs: number of used vehicles - - Returns: - QuantumCircuit: quantum circuit solving the routing problem - """ - # Initialize the problem by defining the parameters - n = num_nodes # number of nodes + depot (n+1) - k = num_vehs # number of vehicles - # Initialize the problem by randomly generating the instance - initializer = Initializer(n) - _xc, _yc, instance = initializer.generate_instance() - - quantum_optimizer = QuantumOptimizer(instance, n, k) - q, g, c, _binary_cost = quantum_optimizer.binary_representation(x_sol=np.array(0.0, dtype=float)) - q_casted = cast("QuadraticExpression", q) - g_casted = cast("LinearExpression", g) - qp = quantum_optimizer.construct_problem(q_casted, g_casted, c) - # Instantiate the quantum optimizer class with parameters: - qc = quantum_optimizer.solve_problem(qp) - - qc.measure_all() - qc.name = "routing" - - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_optimization/tsp.py b/src/mqt/bench/benchmarks/qiskit_application_optimization/tsp.py deleted file mode 100644 index d77d145f1..000000000 --- a/src/mqt/bench/benchmarks/qiskit_application_optimization/tsp.py +++ /dev/null @@ -1,44 +0,0 @@ -"""TSP benchmark definition. Code is based on https://qiskit.org/documentation/optimization/tutorials/06_examples_max_cut_and_tsp.html.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING - -from qiskit.circuit.library import TwoLocal -from qiskit.primitives import Estimator -from qiskit_algorithms.minimum_eigensolvers import VQE -from qiskit_algorithms.optimizers import SPSA -from qiskit_optimization.applications import Tsp -from qiskit_optimization.converters import QuadraticProgramToQubo - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_nodes: int) -> QuantumCircuit: - """Returns a quantum circuit solving the Travelling Salesman Problem (TSP). - - Arguments: - num_nodes: number of to be visited nodes - """ - # Generating a graph of 3 nodes - n = num_nodes - tsp = Tsp.create_random_instance(n, seed=10) - - qp = tsp.to_quadratic_program() - - qp2qubo = QuadraticProgramToQubo() - qubo = qp2qubo.convert(qp) - qubit_op, _offset = qubo.to_ising() - - spsa = SPSA(maxiter=25) - ry = TwoLocal(qubit_op.num_qubits, "ry", "cz", reps=5, entanglement="linear") - vqe = VQE(ansatz=ry, optimizer=spsa, estimator=Estimator()) - vqe.random_seed = 10 - - vqe_result = vqe.compute_minimum_eigenvalue(qubit_op) - qc = vqe.ansatz.assign_parameters(vqe_result.optimal_point) - qc.measure_all() - qc.name = "tsp" - - return qc diff --git a/src/mqt/bench/benchmarks/qiskit_application_ml/qnn.py b/src/mqt/bench/benchmarks/qnn.py similarity index 100% rename from src/mqt/bench/benchmarks/qiskit_application_ml/qnn.py rename to src/mqt/bench/benchmarks/qnn.py diff --git a/src/mqt/bench/benchmarks/random.py b/src/mqt/bench/benchmarks/randomcircuit.py similarity index 91% rename from src/mqt/bench/benchmarks/random.py rename to src/mqt/bench/benchmarks/randomcircuit.py index 867a5b954..7eac2acd5 100644 --- a/src/mqt/bench/benchmarks/random.py +++ b/src/mqt/bench/benchmarks/randomcircuit.py @@ -1,4 +1,4 @@ -"""Random benchmark definition.""" # noqa: A005 +"""Random benchmark definition.""" from __future__ import annotations @@ -26,5 +26,5 @@ def create_circuit(num_qubits: int) -> QuantumCircuit: optimization_level=1, ) qc.measure_all() - qc.name = "random" + qc.name = "randomcircuit" return qc diff --git a/src/mqt/bench/benchmarks/shor.py b/src/mqt/bench/benchmarks/shor.py index 72dd0e0b0..4a5a23ea8 100644 --- a/src/mqt/bench/benchmarks/shor.py +++ b/src/mqt/bench/benchmarks/shor.py @@ -24,7 +24,6 @@ from qiskit import QuantumCircuit, QuantumRegister from qiskit.circuit import Gate, Instruction, ParameterVector from qiskit.circuit.library import QFT -from qiskit_algorithms.utils.validation import validate_min def create_circuit(num_to_be_factorized: int, a: int = 2) -> QuantumCircuit: @@ -208,11 +207,12 @@ def _validate_input(to_be_factored_number: int, a: int) -> None: ValueError: Invalid input """ - validate_min("N", to_be_factored_number, 3) - validate_min("a", a, 2) + if a < 2: + msg = f"{'a'} must have value >= {2}, was {a}" + raise ValueError(msg) - if to_be_factored_number < 1 or to_be_factored_number % 2 == 0: - msg = "The input needs to be an odd integer greater than 1." + if to_be_factored_number < 3 or to_be_factored_number % 2 == 0: + msg = "The input needs to be an odd integer greater than 3." raise ValueError(msg) if a >= to_be_factored_number or math.gcd(a, to_be_factored_number) != 1: diff --git a/src/mqt/bench/benchmarks/vqe.py b/src/mqt/bench/benchmarks/vqe.py deleted file mode 100644 index 69da9d6ef..000000000 --- a/src/mqt/bench/benchmarks/vqe.py +++ /dev/null @@ -1,39 +0,0 @@ -"""VQE benchmark definition. Code is based on https://github.com/qiskit-community/qiskit-application-modules-demo-sessions/blob/main/qiskit-optimization/qiskit-optimization-demo.ipynb.""" - -from __future__ import annotations - -from typing import TYPE_CHECKING - -from qiskit.circuit.library import RealAmplitudes -from qiskit.primitives import Estimator -from qiskit_algorithms.minimum_eigensolvers import VQE -from qiskit_algorithms.optimizers import SLSQP -from qiskit_optimization import QuadraticProgram - -from mqt.bench.utils import get_examplary_max_cut_qp - -if TYPE_CHECKING: # pragma: no cover - from qiskit import QuantumCircuit - - -def create_circuit(num_qubits: int) -> QuantumCircuit: - """Returns a quantum circuit implementing the Variational Quantum Eigensolver Algorithm for a specific max-cut example. - - Arguments: - num_qubits: number of qubits of the returned quantum circuit - - Returns: - QuantumCircuit: a quantum circuit implementing the Variational Quantum Eigensolver Algorithm for a specific - """ - qp = get_examplary_max_cut_qp(num_qubits) - assert isinstance(qp, QuadraticProgram) - - ansatz = RealAmplitudes(num_qubits, reps=2) - vqe = VQE(ansatz=ansatz, optimizer=SLSQP(maxiter=25), estimator=Estimator()) - vqe_result = vqe.compute_minimum_eigenvalue(qp.to_ising()[0]) - qc = vqe.ansatz.assign_parameters(vqe_result.optimal_point) - - qc.measure_all() - qc.name = "vqe" - - return qc diff --git a/src/mqt/bench/benchmarks/realamprandom.py b/src/mqt/bench/benchmarks/vqerealamprandom.py similarity index 96% rename from src/mqt/bench/benchmarks/realamprandom.py rename to src/mqt/bench/benchmarks/vqerealamprandom.py index 04dbfc3ee..aed6f0dcd 100644 --- a/src/mqt/bench/benchmarks/realamprandom.py +++ b/src/mqt/bench/benchmarks/vqerealamprandom.py @@ -25,6 +25,6 @@ def create_circuit(num_qubits: int) -> QuantumCircuit: num_params = qc.num_parameters qc = qc.assign_parameters(2 * np.pi * rng.random(num_params)) qc.measure_all() - qc.name = "realamprandom" + qc.name = "vqerealamprandom" return qc diff --git a/src/mqt/bench/benchmarks/su2random.py b/src/mqt/bench/benchmarks/vqesu2random.py similarity index 96% rename from src/mqt/bench/benchmarks/su2random.py rename to src/mqt/bench/benchmarks/vqesu2random.py index 8f0a9347b..42ea162f5 100644 --- a/src/mqt/bench/benchmarks/su2random.py +++ b/src/mqt/bench/benchmarks/vqesu2random.py @@ -25,6 +25,6 @@ def create_circuit(num_qubits: int) -> QuantumCircuit: num_params = qc.num_parameters qc = qc.assign_parameters(2 * np.pi * rng.random(num_params)) qc.measure_all() - qc.name = "su2random" + qc.name = "vqesu2random" return qc diff --git a/src/mqt/bench/benchmarks/twolocalrandom.py b/src/mqt/bench/benchmarks/vqetwolocalrandom.py similarity index 96% rename from src/mqt/bench/benchmarks/twolocalrandom.py rename to src/mqt/bench/benchmarks/vqetwolocalrandom.py index 037d7ca86..c0ba611e0 100644 --- a/src/mqt/bench/benchmarks/twolocalrandom.py +++ b/src/mqt/bench/benchmarks/vqetwolocalrandom.py @@ -25,6 +25,6 @@ def create_circuit(num_qubits: int) -> QuantumCircuit: num_params = qc.num_parameters qc = qc.assign_parameters(2 * np.pi * rng.random(num_params)) qc.measure_all() - qc.name = "twolocalrandom" + qc.name = "vqetwolocalrandom" return qc diff --git a/src/mqt/bench/calibration_files/ibm_montreal_calibration.json b/src/mqt/bench/calibration_files/ibm_montreal_calibration.json deleted file mode 100644 index 93dcd9c2e..000000000 --- a/src/mqt/bench/calibration_files/ibm_montreal_calibration.json +++ /dev/null @@ -1,426 +0,0 @@ -{ - "name": "ibm_montreal", - "num_qubits": 27, - "basis_gates": ["id", "rz", "sx", "x", "cx", "measure", "barrier"], - "connectivity": [ - [0, 1], - [1, 0], - [1, 2], - [1, 4], - [2, 1], - [2, 3], - [3, 2], - [3, 5], - [4, 1], - [4, 7], - [5, 3], - [5, 8], - [6, 7], - [7, 4], - [7, 6], - [7, 10], - [8, 5], - [8, 9], - [8, 11], - [9, 8], - [10, 7], - [10, 12], - [11, 8], - [11, 14], - [12, 10], - [12, 13], - [12, 15], - [13, 12], - [13, 14], - [14, 11], - [14, 13], - [14, 16], - [15, 12], - [15, 18], - [16, 14], - [16, 19], - [17, 18], - [18, 15], - [18, 17], - [18, 21], - [19, 16], - [19, 20], - [19, 22], - [20, 19], - [21, 18], - [21, 23], - [22, 19], - [22, 25], - [23, 21], - [23, 24], - [24, 23], - [24, 25], - [25, 22], - [25, 24], - [25, 26], - [26, 25] - ], - "properties": { - "0": { - "T1": 71.66672291703205, - "T2": 7.112762140066229, - "eRO": 0.0938, - "tRO": 5201.777777777777, - "eID": 0.0010518203623417416, - "eSX": 0.0010518203623417416, - "eX": 0.0010518203623417416, - "eCX": { "0_1": 0.019235556262839848 }, - "tCX": { "0_1": 384 } - }, - "1": { - "T1": 64.66507592010221, - "T2": 7.681003865655532, - "eRO": 0.07940000000000003, - "tRO": 5201.777777777777, - "eID": 0.0006927722309073223, - "eSX": 0.0006927722309073223, - "eX": 0.0006927722309073223, - "eCX": { - "1_4": 0.023429394122931796, - "1_2": 0.03009867438057126, - "1_0": 0.019235556262839848 - }, - "tCX": { - "1_4": 526.2222222222222, - "1_2": 568.8888888888889, - "1_0": 419.55555555555554 - } - }, - "2": { - "T1": 49.908817200355, - "T2": 6.754112230265546, - "eRO": 0.0928, - "tRO": 5201.777777777777, - "eID": 0.0009197035609403231, - "eSX": 0.0009197035609403231, - "eX": 0.0009197035609403231, - "eCX": { "2_3": 0.023413172409800398, "2_1": 0.03009867438057126 }, - "tCX": { "2_3": 405.3333333333333, "2_1": 533.3333333333333 } - }, - "3": { - "T1": 58.025329689987004, - "T2": 7.334818899642508, - "eRO": 0.07709999999999995, - "tRO": 5201.777777777777, - "eID": 0.0006740046038981555, - "eSX": 0.0006740046038981555, - "eX": 0.0006740046038981555, - 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"14_13": 0.03515134344366225 - }, - "tCX": { - "14_16": 355.55555555555554, - "14_11": 376.88888888888886, - "14_13": 526.2222222222222 - } - }, - "15": { - "T1": 119.70155831502971, - "T2": 6.808538026290434, - "eRO": 0.08519999999999994, - "tRO": 5201.777777777777, - "eID": 0.0009953754724409574, - "eSX": 0.0009953754724409574, - "eX": 0.0009953754724409574, - "eCX": { "15_18": 0.03174109991617888, "15_12": 0.038963765783884496 }, - "tCX": { "15_18": 597.3333333333333, "15_12": 369.77777777777777 } - }, - "16": { - "T1": 99.24189585218217, - "T2": 5.731781942310519, - "eRO": 0.07769999999999999, - "tRO": 5201.777777777777, - "eID": 0.0009763382374726048, - "eSX": 0.0009763382374726048, - "eX": 0.0009763382374726048, - "eCX": { "16_19": 0.020968638393350808, "16_14": 0.017672309126417873 }, - "tCX": { "16_19": 270.22222222222223, "16_14": 320 } - }, - "17": { - "T1": 60.996936524913664, - "T2": 6.128828530429623, - "eRO": 0.08610000000000007, - "tRO": 5201.777777777777, - "eID": 0.0008231438365734483, - 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} - }, - "20": { - "T1": 112.83967472627702, - "T2": 8.822478037091743, - "eRO": 0.07420000000000004, - "tRO": 5201.777777777777, - "eID": 0.0006592131802886608, - "eSX": 0.0006592131802886608, - "eX": 0.0006592131802886608, - "eCX": { "20_19": 0.018880215750069623 }, - "tCX": { "20_19": 320 } - }, - "21": { - "T1": 84.30472917229271, - "T2": 6.720184243797487, - "eRO": 0.11319999999999997, - "tRO": 5201.777777777777, - "eID": 0.0009421203058207778, - "eSX": 0.0009421203058207778, - "eX": 0.0009421203058207778, - "eCX": { "21_18": 0.027167558998595437, "21_23": 0.018062254377289116 }, - "tCX": { "21_18": 405.3333333333333, "21_23": 426.66666666666663 } - }, - "22": { - "T1": 106.19453574946131, - "T2": 8.178786305512608, - "eRO": 0.07909999999999995, - "tRO": 5201.777777777777, - "eID": 0.0012060940334783464, - "eSX": 0.0012060940334783464, - "eX": 0.0012060940334783464, - "eCX": { "22_19": 0.02029345822862655, "22_25": 0.031187785577445087 }, - "tCX": { "22_19": 291.55555555555554, "22_25": 611.5555555555555 } - 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"106_105": 0.009887955476411942, - "106_93": 0.009224747146289652, - "106_107": 0.0088981036161557 - }, - "tCX": { - "106_105": 448, - "106_93": 476.4444444444444, - "106_107": 369.77777777777777 - } - }, - "107": { - "T1": 110.0033308693325, - "T2": 115.91038762728947, - "eRO": 0.0036000000000000476, - "tRO": 864, - "eID": 0.00023436206109936112, - "eSX": 0.00023436206109936112, - "eX": 0.00023436206109936112, - "eCX": { "107_108": 0.011484230207009977, "107_106": 0.0088981036161557 }, - "tCX": { "107_108": 554.6666666666666, "107_106": 334.22222222222223 } - }, - "108": { - "T1": 104.61123155997578, - "T2": 51.84796386434363, - "eRO": 0.08109999999999995, - "tRO": 864, - "eID": 0.0005837011082181873, - "eSX": 0.0005837011082181873, - "eX": 0.0005837011082181873, - "eCX": { - "108_112": 0.015909778925800172, - "108_107": 0.011484230207009977 - }, - "tCX": { "108_112": 533.3333333333333, "108_107": 519.1111111111111 } - }, - "109": { - "T1": 102.14929156102997, - "T2": 94.12567605841977, - "eRO": 0.16920000000000002, - "tRO": 864, - "eID": 0.000364303443434257, - "eSX": 0.000364303443434257, - "eX": 0.000364303443434257, - "eCX": { "109_114": 1, "109_96": 1 }, - "tCX": { "109_114": 668.4444444444445, "109_96": 1009.7777777777777 } - }, - "110": { - "T1": 97.9134446006523, - "T2": 47.354119741865134, - "eRO": 0.008299999999999974, - "tRO": 864, - "eID": 0.0002648200475773011, - "eSX": 0.0002648200475773011, - "eX": 0.0002648200475773011, - "eCX": { - "110_100": 0.016120321317288244, - "110_118": 0.007993550748154665 - }, - "tCX": { "110_100": 796.4444444444443, "110_118": 405.3333333333333 } - }, - "111": { - "T1": 100.1671467665419, - "T2": 113.10550308716748, - "eRO": 0.0017000000000000348, - "tRO": 864, - "eID": 0.00025885847662478044, - "eSX": 0.00025885847662478044, - "eX": 0.00025885847662478044, - "eCX": { - "111_122": 0.009561872658582438, - "111_104": 0.008128121768128632 - }, - "tCX": { "111_122": 426.66666666666663, "111_104": 448 } - }, - "112": { - "T1": 110.0187084810474, - "T2": 82.19700896237332, - "eRO": 0.050799999999999956, - "tRO": 864, - "eID": 0.0005412752874939324, - "eSX": 0.0005412752874939324, - "eX": 0.0005412752874939324, - "eCX": { - "112_108": 0.015909778925800172, - "112_126": 0.022466645235490884 - }, - "tCX": { "112_108": 568.8888888888889, "112_126": 376.88888888888886 } - }, - "113": { - "T1": 61.598175053178956, - "T2": 113.51409546178313, - "eRO": 0.02410000000000001, - "tRO": 864, - "eID": 0.00025640905091284797, - "eSX": 0.00025640905091284797, - "eX": 0.00025640905091284797, - "eCX": { "113_114": 0.009566397722493791 }, - "tCX": { "113_114": 483.55555555555554 } - }, - "114": { - "T1": 86.91983945021029, - "T2": 26.436927385417718, - "eRO": 0.07709999999999995, - "tRO": 864, - "eID": 0.0005081810792615109, - "eSX": 0.0005081810792615109, - "eX": 0.0005081810792615109, - "eCX": { - "114_113": 0.009566397722493791, - "114_115": 0.027396609626709173, - "114_109": 1 - }, - "tCX": { - "114_113": 519.1111111111111, - "114_115": 732.4444444444445, - "114_109": 704 - } - }, - "115": { - "T1": 66.01624411583873, - "T2": 69.44780704405423, - "eRO": 0.017900000000000027, - "tRO": 864, - "eID": 0.0010272697480514777, - "eSX": 0.0010272697480514777, - "eX": 0.0010272697480514777, - "eCX": { - "115_116": 0.02576447194311779, - "115_114": 0.027396609626709173 - }, - "tCX": { "115_116": 533.3333333333333, "115_114": 696.8888888888888 } - }, - "116": { - "T1": 138.22894474237793, - "T2": 147.01589390667547, - "eRO": 0.0021999999999999797, - "tRO": 864, - "eID": 0.00019603982578578658, - "eSX": 0.00019603982578578658, - "eX": 0.00019603982578578658, - "eCX": { - "116_115": 0.02576447194311779, - "116_117": 0.011206786931789253 - }, - "tCX": { "116_115": 568.8888888888889, "116_117": 348.4444444444444 } - }, - "117": { - "T1": 74.4864887908141, - "T2": 114.68290188344685, - "eRO": 0.0038000000000000256, - "tRO": 864, - "eID": 0.0003330639563331991, - "eSX": 0.0003330639563331991, - "eX": 0.0003330639563331991, - "eCX": { - "117_118": 0.009546779947456452, - "117_116": 0.011206786931789253 - }, - "tCX": { "117_118": 433.77777777777777, "117_116": 312.88888888888886 } - }, - "118": { - "T1": 122.5753150861503, - "T2": 126.38611554281331, - "eRO": 0.024699999999999944, - "tRO": 864, - "eID": 0.0002671689692877082, - "eSX": 0.0002671689692877082, - "eX": 0.0002671689692877082, - "eCX": { - "118_117": 0.009546779947456452, - "118_119": 0.012356917729275746, - "118_110": 0.007993550748154665 - }, - "tCX": { - "118_117": 469.3333333333333, - "118_119": 881.7777777777777, - "118_110": 440.88888888888886 - } - }, - "119": { - "T1": 81.59773680220509, - "T2": 91.78388988584005, - "eRO": 0.007099999999999995, - "tRO": 864, - "eID": 0.00020498397103382133, - "eSX": 0.00020498397103382133, - "eX": 0.00020498397103382133, - "eCX": { - "119_120": 0.018729665154804925, - "119_118": 0.012356917729275746 - }, - "tCX": { "119_120": 1130.6666666666665, "119_118": 846.2222222222222 } - }, - "120": { - "T1": 60.25833884431985, - "T2": 60.07570475798692, - "eRO": 0.0035000000000000586, - "tRO": 864, - "eID": 0.00022120594377437715, - "eSX": 0.00022120594377437715, - "eX": 0.00022120594377437715, - "eCX": { - "120_121": 0.010240049082525043, - "120_119": 0.018729665154804925 - }, - "tCX": { "120_121": 476.4444444444444, "120_119": 1166.2222222222222 } - }, - "121": { - "T1": 76.68959641667072, - "T2": 49.871529688578875, - "eRO": 0.012399999999999967, - "tRO": 864, - "eID": 0.0002849073925835129, - "eSX": 0.0002849073925835129, - "eX": 0.0002849073925835129, - "eCX": { - "121_120": 0.010240049082525043, - "121_122": 0.01735305875966467 - }, - "tCX": { "121_120": 440.88888888888886, "121_122": 846.2222222222222 } - }, - "122": { - "T1": 93.42232224829289, - "T2": 118.10195000045648, - "eRO": 0.0035000000000000586, - "tRO": 864, - "eID": 0.0002532617883045333, - "eSX": 0.0002532617883045333, - "eX": 0.0002532617883045333, - "eCX": { - "122_111": 0.009561872658582438, - "122_123": 0.04122130063906035, - "122_121": 0.01735305875966467 - }, - "tCX": { - "122_111": 462.2222222222222, - "122_123": 561.7777777777777, - "122_121": 810.6666666666666 - } - }, - "123": { - "T1": 86.60791354521089, - "T2": 7.421745300564297, - "eRO": 0.0026999999999999247, - "tRO": 864, - "eID": 0.0012252912338056978, - "eSX": 0.0012252912338056978, - "eX": 0.0012252912338056978, - "eCX": { "123_124": 0.06621535654256899, "123_122": 0.04122130063906035 }, - "tCX": { "123_124": 533.3333333333333, "123_122": 597.3333333333333 } - }, - "124": { - "T1": 104.83399723126419, - "T2": 96.42386470914, - "eRO": 0.01959999999999995, - "tRO": 864, - "eID": 0.001027366807551197, - "eSX": 0.001027366807551197, - "eX": 0.001027366807551197, - "eCX": { - "124_125": 0.014599757017027065, - "124_123": 0.06621535654256899 - }, - "tCX": { "124_125": 789.3333333333333, "124_123": 497.77777777777777 } - }, - "125": { - "T1": 94.21683304897701, - "T2": 120.02260072630652, - "eRO": 0.0020999999999999908, - "tRO": 864, - "eID": 0.00022831064206038976, - "eSX": 0.00022831064206038976, - "eX": 0.00022831064206038976, - "eCX": { - "125_124": 0.014599757017027065, - "125_126": 0.00974743027204264 - }, - "tCX": { "125_124": 753.7777777777777, "125_126": 504.88888888888886 } - }, - "126": { - "T1": 107.34940803380395, - "T2": 87.82373133219541, - "eRO": 0.0050000000000000044, - "tRO": 864, - "eID": 0.00036456984506060794, - "eSX": 0.00036456984506060794, - "eX": 0.00036456984506060794, - "eCX": { - "126_112": 0.022466645235490884, - "126_125": 0.00974743027204264 - }, - "tCX": { "126_112": 412.4444444444444, "126_125": 469.3333333333333 } - } - } -} diff --git a/src/mqt/bench/cli.py b/src/mqt/bench/cli.py index c59f3b6a9..eb35c0a4e 100644 --- a/src/mqt/bench/cli.py +++ b/src/mqt/bench/cli.py @@ -10,7 +10,7 @@ from qiskit import QuantumCircuit from qiskit.qasm2 import dumps as qiskit_circuit_to_str -from . import CompilerSettings, QiskitSettings, TKETSettings, get_benchmark +from . import CompilerSettings, QiskitSettings, get_benchmark class CustomArgumentParser(argparse.ArgumentParser): @@ -44,8 +44,7 @@ def main() -> None: parser.add_argument("--num-qubits", type=int, help="Number of Qubits", required=True) parser.add_argument("--compiler", type=str, help="Name of the compiler") parser.add_argument("--qiskit-optimization-level", type=int, help="Qiskit compiler optimization level") - parser.add_argument("--tket-placement", type=str, help="TKET placement") - parser.add_argument("--native-gate-set", type=str, help="Name of the provider") + parser.add_argument("--gateset", type=str, help="Name of the provider") parser.add_argument("--device", type=str, help="Name of the device") args = parser.parse_args() @@ -53,10 +52,6 @@ def main() -> None: if args.qiskit_optimization_level is not None: qiskit_settings = QiskitSettings(args.qiskit_optimization_level) - tket_settings = TKETSettings() - if args.tket_placement is not None: - tket_settings = TKETSettings(args.tket_placement) - # Note: Assertions about argument validity are in get_benchmark() # Temporary workaround to "get things working" with benchmark instances. @@ -71,9 +66,8 @@ def main() -> None: compiler=args.compiler, compiler_settings=CompilerSettings( qiskit=qiskit_settings, - tket=tket_settings, ), - provider_name=args.native_gate_set, + provider_name=args.gateset, device_name=args.device, ) @@ -86,7 +80,7 @@ def main() -> None: def parse_benchmark_name_and_instance(algorithm: str) -> tuple[str, str | None]: """Parse an algorithm name like "shor_xlarge" into a benchmark and instance name as expected by :func:`get_benchmark`.""" - if algorithm.startswith(("shor_", "groundstate_")): + if algorithm.startswith("shor_"): as_list = algorithm.split("_", 2) assert len(as_list) == 2 return cast("tuple[str, str]", tuple(as_list)) diff --git a/src/mqt/bench/config.json b/src/mqt/bench/config.json index b7222a339..bbc424633 100644 --- a/src/mqt/bench/config.json +++ b/src/mqt/bench/config.json @@ -9,6 +9,14 @@ "stepsize": 1, "precheck_possible": true }, + { + "name": "bv", + "include": true, + "min_qubits": 2, + "max_qubits": 131, + "stepsize": 1, + "precheck_possible": true + }, { "name": "dj", "include": true, @@ -33,12 +41,6 @@ "stepsize": 1, "precheck_possible": true }, - { - "name": "groundstate", - "include": true, - "instances": ["small", "medium", "large"], - "precheck_possible": false - }, { "name": "grover", "include": true, @@ -48,36 +50,6 @@ "ancillary_mode": ["noancilla", "v-chain"], "precheck_possible": false }, - { - "name": "portfolioqaoa", - "include": true, - "min_qubits": 3, - "max_qubits": 14, - "stepsize": 1, - "precheck_possible": true - }, - { - "name": "portfoliovqe", - "include": true, - "min_qubits": 3, - "max_qubits": 14, - "stepsize": 1, - "precheck_possible": true - }, - { - "name": "pricingcall", - "include": true, - "min_uncertainty": 2, - "max_uncertainty": 131, - "precheck_possible": false - }, - { - "name": "pricingput", - "include": true, - "min_uncertainty": 2, - "max_uncertainty": 131, - "precheck_possible": false - }, { "name": "qaoa", "include": true, @@ -136,7 +108,7 @@ "precheck_possible": false }, { - "name": "random", + "name": "randomcircuit", "include": true, "min_qubits": 2, "max_qubits": 131, @@ -144,20 +116,13 @@ "precheck_possible": true }, { - "name": "realamprandom", + "name": "vqerealamprandom", "include": true, "min_qubits": 2, "max_qubits": 131, "stepsize": 1, "precheck_possible": true }, - { - "name": "routing", - "include": true, - "min_nodes": 2, - "max_nodes": 131, - "precheck_possible": false - }, { "name": "shor", "include": true, @@ -165,7 +130,7 @@ "precheck_possible": false }, { - "name": "su2random", + "name": "vqesu2random", "include": true, "min_qubits": 2, "max_qubits": 131, @@ -173,28 +138,13 @@ "precheck_possible": true }, { - "name": "tsp", - "include": true, - "min_nodes": 2, - "max_nodes": 131, - "precheck_possible": false - }, - { - "name": "twolocalrandom", + "name": "vqetwolocalrandom", "include": true, "min_qubits": 2, "max_qubits": 131, "stepsize": 1, "precheck_possible": true }, - { - "name": "vqe", - "include": true, - "min_qubits": 3, - "max_qubits": 131, - "stepsize": 1, - "precheck_possible": true - }, { "name": "wstate", "include": true, diff --git a/src/mqt/bench/devices/__init__.py b/src/mqt/bench/devices/__init__.py index 7d070c9fb..0da3f6c0b 100644 --- a/src/mqt/bench/devices/__init__.py +++ b/src/mqt/bench/devices/__init__.py @@ -6,66 +6,35 @@ from __future__ import annotations -# ruff: noqa: I001 from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider +from .device import Device, Gateset +from .ibm import IBMMontreal, IBMTorino, IBMWashington +from .ionq import IonQAria1, IonQHarmony +from .iqm import IQMAdonis, IQMApollo +from .oqc import OQCLucy +from .quantinuum import QuantinuumH2 +from .rigetti import RigettiAspenM3 -from .ibm import IBMProvider -from .ionq import IonQProvider -from .iqm import IQMProvider -from .oqc import OQCProvider -from .quantinuum import QuantinuumProvider -from .rigetti import RigettiProvider - -class NotFoundError(Exception): - """Raised when a device or provider is not found within the available ones.""" - - -def get_available_providers() -> list[Provider]: - """Get a list of all available providers.""" - return [IBMProvider(), IonQProvider(), OQCProvider(), RigettiProvider(), QuantinuumProvider(), IQMProvider()] - - -def get_available_provider_names() -> list[str]: - """Get a list of all available provider names.""" - return [prov.provider_name for prov in get_available_providers()] - - -def get_provider_by_name(provider_name: str) -> Provider: - """Get a provider by its name. - - Arguments: - provider_name: the name of the provider - """ - provider = None - for prov in get_available_providers(): - if prov.provider_name == provider_name: - provider = prov - break - - if provider is None: - msg = f"Provider '{provider_name}' not found among available providers." - raise NotFoundError(msg) - - return provider - - -def get_available_devices(sanitize_device: bool = False) -> list[Device]: - """Get a list of all available devices. - - Arguments: - sanitize_device: whether to sanitize the device calibration data - """ +def get_available_devices() -> list[Device]: + """Get a list of all available devices.""" return [ - dev for prov in get_available_providers() for dev in prov.get_available_devices(sanitize_device=sanitize_device) + IBMTorino(), + IBMMontreal(), + IBMWashington(), + IonQAria1(), + IonQHarmony(), + IQMAdonis(), + IQMApollo(), + OQCLucy(), + QuantinuumH2(), + RigettiAspenM3(), ] def get_available_device_names() -> list[str]: """Get a list of all available device names.""" - return [name for prov in get_available_providers() for name in prov.get_available_device_names()] + return [device.name for device in get_available_devices()] def get_device_by_name(device_name: str) -> Device: @@ -74,35 +43,68 @@ def get_device_by_name(device_name: str) -> Device: Arguments: device_name: the name of the device """ - device = None - for provider in get_available_providers(): - try: - device = provider.get_device(device_name) - break - except ValueError: - continue - - if device is None: - msg = f"Device '{device_name}' not found among available providers." - raise NotFoundError(msg) + for device in get_available_devices(): + if device.name == device_name: + return device - return device + msg = f"Device {device_name} not found in available devices." + raise ValueError(msg) __all__ = [ "Device", "DeviceCalibration", - "IBMProvider", - "IQMProvider", - "IonQProvider", - "OQCProvider", - "Provider", - "QuantinuumProvider", - "RigettiProvider", + "Gateset", "get_available_device_names", "get_available_devices", - "get_available_provider_names", - "get_available_providers", "get_device_by_name", - "get_provider_by_name", ] + + +def get_available_native_gatesets() -> list[Gateset]: + """Get a list of all available native gatesets.""" + available_gatesets = [] + for device in get_available_devices(): + if device.gateset not in available_gatesets: + available_gatesets.append(device.gateset) + available_gatesets.append( + Gateset( + "clifford+t", + [ + "i", + "x", + "y", + "z", + "h", + "s", + "sdg", + "t", + "tdg", + "sx", + "sxdg", + "cx", + "cy", + "cz", + "swap", + "iswap", + "dcx", + "ecr", + "measure", + "barrier", + ], + ) + ) + return available_gatesets + + +def get_native_gateset_by_name(gateset_name: str) -> Gateset: + """Get a native gateset by its name. + + Arguments: + gateset_name: the name of the gateset + """ + for gateset in get_available_native_gatesets(): + if gateset.gateset_name == gateset_name: + return gateset + msg = f"Gateset {gateset_name} not found in available gatesets." + raise ValueError(msg) diff --git a/src/mqt/bench/devices/calibration.py b/src/mqt/bench/devices/calibration.py index eea1cf81c..6f3ec841f 100644 --- a/src/mqt/bench/devices/calibration.py +++ b/src/mqt/bench/devices/calibration.py @@ -3,6 +3,8 @@ from __future__ import annotations from dataclasses import dataclass, field +from importlib import resources +from pathlib import Path @dataclass @@ -18,7 +20,6 @@ class DeviceCalibration: readout_duration: readout duration for each qubit t1: T1 time for each qubit t2: T2 time for each qubit - frequency: frequency for each qubit """ single_qubit_gate_fidelity: dict[int, dict[str, float]] = field(default_factory=dict) @@ -235,3 +236,14 @@ def compute_average_readout_duration(self) -> float: raise ValueError(msg) return sum(self.readout_duration.values()) / len(self.readout_duration) + + +def get_device_calibration_path(filename: str) -> Path: + """Get the path to the calibration file for a device.""" + calibration_path = resources.files("mqt.bench") / "calibration_files" / f"{filename}_calibration.json" + + if not calibration_path.is_file(): + msg = f"Calibration file not found: {calibration_path}" + raise FileNotFoundError(msg) + + return Path(str(calibration_path)) diff --git a/src/mqt/bench/devices/device.py b/src/mqt/bench/devices/device.py index 61e129e0a..05cda4f40 100644 --- a/src/mqt/bench/devices/device.py +++ b/src/mqt/bench/devices/device.py @@ -2,6 +2,7 @@ from __future__ import annotations +from abc import ABC, abstractmethod from dataclasses import dataclass, field from typing import TYPE_CHECKING @@ -10,23 +11,35 @@ @dataclass -class Device: +class Gateset: + """A class to represent a set of native gates.""" + + gateset_name: str + gates: list[str] + + +@dataclass +class Device(ABC): """A class to represent a (generic) quantum device. Attributes: name: name of the device num_qubits: number of qubits - basis_gates: list of basis gates supported by the device + gateset: gateset of the device coupling_map: coupling map of the device's qubits calibration: calibration information for the device """ name: str = "" + gateset: Gateset = field(default_factory=Gateset) # type: ignore[arg-type] num_qubits: int = 0 - basis_gates: list[str] = field(default_factory=list) coupling_map: list[list[int]] = field(default_factory=list) calibration: DeviceCalibration | None = None + @abstractmethod + def read_calibration(self) -> None: + """Read the calibration data for the device.""" + def get_single_qubit_gate_fidelity(self, gate_type: str, qubit: int) -> float: """Get the single-qubit fidelity for a given gate type and qubit. @@ -34,16 +47,21 @@ def get_single_qubit_gate_fidelity(self, gate_type: str, qubit: int) -> float: gate_type: name of the gate qubit: index of the qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() - if gate_type not in self.basis_gates: + assert self.calibration is not None + + if gate_type not in self.gateset.gates: msg = f"Gate {gate_type} not supported by device {self.name}." raise ValueError(msg) return self.calibration.get_single_qubit_gate_fidelity(gate_type, qubit) + def check_calibration(self) -> None: + """Check if the calibration data is read and do so if that was not the case.""" + if self.calibration is None: + self.read_calibration() + def get_single_qubit_gate_duration(self, gate_type: str, qubit: int) -> float: """Get the single-qubit gate duration for a given gate type and qubit. @@ -51,11 +69,10 @@ def get_single_qubit_gate_duration(self, gate_type: str, qubit: int) -> float: gate_type: name of the gate qubit: index of the qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None - if gate_type not in self.basis_gates: + if gate_type not in self.gateset.gates: msg = f"Gate {gate_type} not supported by device {self.name}." raise ValueError(msg) @@ -69,11 +86,10 @@ def get_two_qubit_gate_fidelity(self, gate_type: str, qubit1: int, qubit2: int) qubit1: index of the first qubit qubit2: index of the second qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None - if gate_type not in self.basis_gates: + if gate_type not in self.gateset.gates: msg = f"Gate {gate_type} not supported by device {self.name}." raise ValueError(msg) @@ -87,11 +103,10 @@ def get_two_qubit_gate_duration(self, gate_type: str, qubit1: int, qubit2: int) qubit1: index of the first qubit qubit2: index of the second qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None - if gate_type not in self.basis_gates: + if gate_type not in self.gateset.gates: msg = f"Gate {gate_type} not supported by device {self.name}." raise ValueError(msg) @@ -103,9 +118,8 @@ def get_readout_fidelity(self, qubit: int) -> float: Arguments: qubit: index of the qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None return self.calibration.get_readout_fidelity(qubit) @@ -115,9 +129,8 @@ def get_readout_duration(self, qubit: int) -> float: Arguments: qubit: index of the qubit """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None return self.calibration.get_readout_duration(qubit) @@ -127,6 +140,7 @@ def get_single_qubit_gates(self) -> set[str]: Returns: list of single-qubit gates """ + self.check_calibration() assert self.calibration is not None return {gate for qubit in range(self.num_qubits) for gate in self.calibration.single_qubit_gate_fidelity[qubit]} @@ -136,6 +150,7 @@ def get_two_qubit_gates(self) -> set[str]: Returns: list of two-qubit gates """ + self.check_calibration() assert self.calibration is not None return { gate @@ -154,9 +169,8 @@ def sanitize_device(self) -> None: * all two-qubit gates have fidelity data for all qubit pairs in the coupling map. This is accomplished by substituting the missing fidelity data with the average fidelity for the gate. """ - if self.calibration is None: - msg = f"Calibration data not available for device {self.name}." - raise ValueError(msg) + self.check_calibration() + assert self.calibration is not None # ensure that all single-qubit gates have fidelity data for all qubits in the coupling map for gate in self.get_single_qubit_gates(): @@ -170,7 +184,7 @@ def sanitize_device(self) -> None: # remove any edge from the coupling map that has a fidelity of 0 for all gates (see ibm_washington) self.coupling_map = [ - edge + list(edge) for edge in self.coupling_map if all(fidelity != 0 for fidelity in self.calibration.two_qubit_gate_fidelity[tuple(edge)].values()) ] diff --git a/src/mqt/bench/devices/ibm.py b/src/mqt/bench/devices/ibm.py index 9063f399a..2224db51c 100644 --- a/src/mqt/bench/devices/ibm.py +++ b/src/mqt/bench/devices/ibm.py @@ -2,136 +2,58 @@ from __future__ import annotations -import json -from typing import TYPE_CHECKING, TypedDict, cast - -if TYPE_CHECKING: - from pathlib import Path - - from qiskit.providers import BackendV2 - from qiskit.transpiler import Target +import logging +from typing import TYPE_CHECKING, cast +from qiskit_ibm_runtime.fake_provider import FakeMontrealV2, FakeTorino, FakeWashingtonV2 +from . import Gateset from .calibration import DeviceCalibration from .device import Device -from .provider import Provider - - -class QubitProperties(TypedDict): - """Class to store the properties of a single qubit.""" - - T1: float # us - T2: float # us - eRO: float - tRO: float # ns - eID: float - eSX: float - eX: float - eCX: dict[str, float] - tCX: dict[str, float] # ns - - -class IBMCalibration(TypedDict): - """Class to store the calibration data of an IBM device.""" - - name: str - basis_gates: list[str] - num_qubits: int - connectivity: list[list[int]] - properties: dict[str, QubitProperties] - - -class IBMProvider(Provider): - """Class to manage IBM devices.""" - - provider_name = "ibm" - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available IBM devices.""" - return ["ibm_washington", "ibm_montreal"] # NOTE: update when adding new devices +logger = logging.getLogger(__name__) - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["id", "rz", "sx", "x", "cx", "measure", "barrier"] # washington, montreal - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import an IBM backend. +if TYPE_CHECKING: + from qiskit.providers import BackendV2 - Arguments: - path: the path to the JSON file containing the calibration data. - Returns: the Device object - """ - with path.open() as json_file: - ibm_calibration = cast("IBMCalibration", json.load(json_file)) +class IBMDevice(Device): + """IBM Washington device.""" - device = Device() - device.name = ibm_calibration["name"] - device.num_qubits = ibm_calibration["num_qubits"] - device.basis_gates = ibm_calibration["basis_gates"] - device.coupling_map = list(ibm_calibration["connectivity"]) + def __init__(self, backend: BackendV2, device_name: str, gateset_name: str) -> None: + """Initialize the IBM device.""" + self.name = device_name + self.gateset = Gateset(gateset_name, backend.operation_names) + self.num_qubits = backend.num_qubits + self.coupling_map = backend.coupling_map + self.calibration = None + self.target = backend.target + def read_calibration(self) -> None: + """Read the calibration data for the device.""" calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - calibration.single_qubit_gate_fidelity[qubit] = { - "id": 1 - ibm_calibration["properties"][str(qubit)]["eID"], - "rz": 1, # rz is always perfect - "sx": 1 - ibm_calibration["properties"][str(qubit)]["eSX"], - "x": 1 - ibm_calibration["properties"][str(qubit)]["eX"], - } - calibration.readout_fidelity[qubit] = 1 - ibm_calibration["properties"][str(qubit)]["eRO"] - # data in nanoseconds, convert to SI unit (seconds) - calibration.readout_duration[qubit] = ibm_calibration["properties"][str(qubit)]["tRO"] * 1e-9 - # data in microseconds, convert to SI unit (seconds) - calibration.t1[qubit] = ibm_calibration["properties"][str(qubit)]["T1"] * 1e-6 - calibration.t2[qubit] = ibm_calibration["properties"][str(qubit)]["T2"] * 1e-6 - - for qubit1, qubit2 in device.coupling_map: - edge = f"{qubit1}_{qubit2}" - - error = ibm_calibration["properties"][str(qubit1)]["eCX"][edge] - calibration.two_qubit_gate_fidelity[qubit1, qubit2] = {"cx": 1 - error} - - # data in nanoseconds, convert to SI unit (seconds) - duration = ibm_calibration["properties"][str(qubit1)]["tCX"][edge] * 1e-9 - calibration.two_qubit_gate_duration[qubit1, qubit2] = {"cx": duration} - - device.calibration = calibration - return device - - @classmethod - def __import_target(cls, target: Target) -> DeviceCalibration: - """Import calibration data from a Qiskit `Target` object. - - Arguments: - target: the Qiskit `Target` object. - - Returns: Collection of calibration data - """ - calibration = DeviceCalibration() - num_qubits = len(target.qubit_properties) + num_qubits = len(self.target.qubit_properties) for qubit in range(num_qubits): - qubit_props = target.qubit_properties[qubit] + qubit_props = self.target.qubit_properties[qubit] calibration.t1[qubit] = cast("float", qubit_props.t1) calibration.t2[qubit] = cast("float", qubit_props.t2) calibration.single_qubit_gate_fidelity = {qubit: {} for qubit in range(num_qubits)} calibration.single_qubit_gate_duration = {qubit: {} for qubit in range(num_qubits)} - coupling_map = target.build_coupling_map().get_edges() + coupling_map = self.target.build_coupling_map().get_edges() calibration.two_qubit_gate_fidelity = {(qubit1, qubit2): {} for qubit1, qubit2 in coupling_map} calibration.two_qubit_gate_duration = {(qubit1, qubit2): {} for qubit1, qubit2 in coupling_map} - for instruction, qargs in target.instructions: - # Skip `reset` and `delay` gate as their error information is not exposed. + for instruction, qargs in self.target.instructions: if instruction.name == "reset" or instruction.name == "delay": continue - - instruction_props = target[instruction.name][qargs] - error: float = instruction_props.error - duration: float = instruction_props.duration + # Skip control flow operations like ForLoopOp, IfElseOp, SwitchCaseOp, etc. + try: + instruction_props = self.target[instruction.name][qargs] + error: float = instruction_props.error + duration: float = instruction_props.duration + except KeyError: + continue qubit = qargs[0] if instruction.name == "measure": calibration.readout_fidelity[qubit] = 1 - error @@ -144,21 +66,28 @@ def __import_target(cls, target: Target) -> DeviceCalibration: calibration.two_qubit_gate_fidelity[qubit1, qubit2][instruction.name] = 1 - error calibration.two_qubit_gate_duration[qubit1, qubit2][instruction.name] = duration - return calibration + self.calibration = calibration + + +class IBMWashington(IBMDevice): + """IBM Washington device.""" + + def __init__(self) -> None: + """Initialize the IBM Washington device.""" + super().__init__(backend=FakeWashingtonV2(), device_name="ibm_washington", gateset_name="ibm_falcon") + + +class IBMTorino(IBMDevice): + """IBM Torino device.""" + + def __init__(self) -> None: + """Initialize the IBM Torino device.""" + super().__init__(backend=FakeTorino(), device_name="ibm_torino", gateset_name="ibm_heron_r1") - @classmethod - def import_qiskit_backend(cls, backend: BackendV2) -> Device: - """Import device data from a Qiskit `Backend` object. - Arguments: - backend: the Qiskit `BackendV2` object. +class IBMMontreal(IBMDevice): + """IBM Montreal device.""" - Returns: Collection of device data - """ - device = Device() - device.name = backend.name - device.num_qubits = backend.num_qubits - device.basis_gates = backend.operation_names - device.coupling_map = backend.coupling_map.get_edges() - device.calibration = cls.__import_target(backend.target) - return device + def __init__(self) -> None: + """Initialize the IBM Montreal device.""" + super().__init__(backend=FakeMontrealV2(), device_name="ibm_montreal", gateset_name="ibm_falcon") diff --git a/src/mqt/bench/devices/ionq.py b/src/mqt/bench/devices/ionq.py index e586202f4..45f0e2633 100644 --- a/src/mqt/bench/devices/ionq.py +++ b/src/mqt/bench/devices/ionq.py @@ -1,16 +1,70 @@ -"""Module to manage IonQ devices.""" +"""IonQ devices.""" from __future__ import annotations import json from typing import TYPE_CHECKING, TypedDict, cast +from .calibration import DeviceCalibration, get_device_calibration_path +from .device import Device, Gateset + if TYPE_CHECKING: from pathlib import Path -from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider + +class IonQDevice(Device): + """IonQ device.""" + + def __init__(self, calibration_path: Path) -> None: + """Initialize the IonQ device.""" + with calibration_path.open() as json_file: + self.ionq_calibration = cast("IonQCalibration", json.load(json_file)) + self.calibration = None + + self.name = self.ionq_calibration["name"] + self.gateset = Gateset("ionq", self.ionq_calibration["basis_gates"]) + self.num_qubits = self.ionq_calibration["num_qubits"] + self.coupling_map = list(self.ionq_calibration["connectivity"]) + + def read_calibration(self) -> None: + """Read the calibration data for the device.""" + calibration = DeviceCalibration() + for qubit in range(self.num_qubits): + calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( + ["ry", "rx"], self.ionq_calibration["fidelity"]["1q"]["mean"] + ) + calibration.single_qubit_gate_fidelity[qubit]["rz"] = 1 # rz is always perfect + calibration.single_qubit_gate_duration[qubit] = dict.fromkeys( + ["ry", "rx"], self.ionq_calibration["timing"]["1q"] + ) + calibration.single_qubit_gate_duration[qubit]["rz"] = 0 # rz is always instantaneous + calibration.readout_fidelity[qubit] = self.ionq_calibration["fidelity"]["spam"]["mean"] + calibration.readout_duration[qubit] = self.ionq_calibration["timing"]["readout"] + calibration.t1[qubit] = self.ionq_calibration["timing"]["t1"] + calibration.t2[qubit] = self.ionq_calibration["timing"]["t2"] + + for qubit1, qubit2 in self.coupling_map: + calibration.two_qubit_gate_fidelity[qubit1, qubit2] = { + "rxx": self.ionq_calibration["fidelity"]["2q"]["mean"] + } + calibration.two_qubit_gate_duration[qubit1, qubit2] = {"rxx": self.ionq_calibration["timing"]["2q"]} + self.calibration = calibration + + +class IonQHarmony(IonQDevice): + """IonQ Harmony device.""" + + def __init__(self) -> None: + """Initialize the IonQ Harmony device.""" + super().__init__(get_device_calibration_path("ionq_harmony")) + + +class IonQAria1(IonQDevice): + """IonQ Aria1 device.""" + + def __init__(self) -> None: + """Initialize the IonQ Aria1 device.""" + super().__init__(get_device_calibration_path("ionq_aria1")) class Statistics(TypedDict): @@ -32,58 +86,3 @@ class IonQCalibration(TypedDict): fidelity: Fidelity num_qubits: int timing: Timing - - -class IonQProvider(Provider): - """Class to manage IonQ devices.""" - - provider_name = "ionq" - - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available IonQ devices.""" - return ["ionq_harmony", "ionq_aria1"] # NOTE: update when adding new devices - - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["rxx", "rz", "ry", "rx", "measure", "barrier"] # harmony, aria1 - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import an IonQ backend as a Device object. - - Arguments: - path: the path to the JSON file containing the calibration data. - - Returns: - the Device object - """ - with path.open() as json_file: - ionq_calibration = cast("IonQCalibration", json.load(json_file)) - - device = Device() - device.name = ionq_calibration["name"] - device.num_qubits = ionq_calibration["num_qubits"] - device.basis_gates = ionq_calibration["basis_gates"] - device.coupling_map = list(ionq_calibration["connectivity"]) - calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( - ["ry", "rx"], ionq_calibration["fidelity"]["1q"]["mean"] - ) - calibration.single_qubit_gate_fidelity[qubit]["rz"] = 1 # rz is always perfect - calibration.single_qubit_gate_duration[qubit] = dict.fromkeys( - ["ry", "rx"], ionq_calibration["timing"]["1q"] - ) - calibration.single_qubit_gate_duration[qubit]["rz"] = 0 # rz is always instantaneous - calibration.readout_fidelity[qubit] = ionq_calibration["fidelity"]["spam"]["mean"] - calibration.readout_duration[qubit] = ionq_calibration["timing"]["readout"] - calibration.t1[qubit] = ionq_calibration["timing"]["t1"] - calibration.t2[qubit] = ionq_calibration["timing"]["t2"] - - for qubit1, qubit2 in device.coupling_map: - calibration.two_qubit_gate_fidelity[qubit1, qubit2] = {"rxx": ionq_calibration["fidelity"]["2q"]["mean"]} - calibration.two_qubit_gate_duration[qubit1, qubit2] = {"rxx": ionq_calibration["timing"]["2q"]} - device.calibration = calibration - return device diff --git a/src/mqt/bench/devices/iqm.py b/src/mqt/bench/devices/iqm.py index afaf21a48..7224fc929 100644 --- a/src/mqt/bench/devices/iqm.py +++ b/src/mqt/bench/devices/iqm.py @@ -5,12 +5,74 @@ import json from typing import TYPE_CHECKING, TypedDict, cast +from .calibration import DeviceCalibration, get_device_calibration_path +from .device import Device, Gateset + if TYPE_CHECKING: from pathlib import Path -from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider + +class IQMDevice(Device): + """IQM device.""" + + def __init__(self, calibration_path: Path) -> None: + """Initialize the device.""" + with calibration_path.open() as json_file: + self.iqm_calibration = cast("IQMCalibration", json.load(json_file)) + self.calibration = None + + self.name = self.iqm_calibration["name"] + self.gateset = Gateset("iqm", self.iqm_calibration["basis_gates"]) + self.num_qubits = self.iqm_calibration["num_qubits"] + self.coupling_map = list(self.iqm_calibration["connectivity"]) + + def read_calibration(self) -> None: + """Read the calibration data for the device.""" + calibration = DeviceCalibration() + for qubit in range(self.num_qubits): + calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( + ["r"], 1.0 - self.iqm_calibration["error"]["one_q"][str(qubit)] + ) + calibration.single_qubit_gate_duration[qubit] = dict.fromkeys( + ["r"], + self.iqm_calibration["timing"]["one_q"] * 1e-9, # ns to s + ) + calibration.readout_fidelity[qubit] = 1.0 - self.iqm_calibration["error"]["readout"][str(qubit)] + calibration.readout_duration[qubit] = self.iqm_calibration["timing"]["readout"] * 1e-9 # ns to s + calibration.t1[qubit] = self.iqm_calibration["timing"]["t1"][str(qubit)] * 1e-9 # ns to s + calibration.t2[qubit] = self.iqm_calibration["timing"]["t2"][str(qubit)] * 1e-9 # ns to s + + for qubit1, qubit2 in self.coupling_map: + if (qubit1, qubit2) in calibration.two_qubit_gate_fidelity: + continue # Skip reverse direction + calibration.two_qubit_gate_fidelity[qubit1, qubit2] = { + "cz": 1.0 - self.iqm_calibration["error"]["two_q"][str(qubit1) + "-" + str(qubit2)] + } + calibration.two_qubit_gate_duration[qubit1, qubit2] = { + "cz": self.iqm_calibration["timing"]["two_q"] * 1e-9 # ns to s + } + + # Same values for the reverse direction + calibration.two_qubit_gate_fidelity[qubit2, qubit1] = calibration.two_qubit_gate_fidelity[qubit1, qubit2] + calibration.two_qubit_gate_duration[qubit2, qubit1] = calibration.two_qubit_gate_duration[qubit1, qubit2] + + self.calibration = calibration + + +class IQMAdonis(IQMDevice): + """IQM Adonis device.""" + + def __init__(self) -> None: + """Initialize the IQM Adonis device.""" + super().__init__(get_device_calibration_path("iqm_adonis")) + + +class IQMApollo(IQMDevice): + """IQM Apollo device.""" + + def __init__(self) -> None: + """Initialize the IQM Apollo device.""" + super().__init__(get_device_calibration_path("iqm_apollo")) class Infidelity(TypedDict): @@ -43,67 +105,3 @@ class IQMCalibration(TypedDict): error: Infidelity num_qubits: int timing: Timing - - -class IQMProvider(Provider): - """Class to manage IQM devices.""" - - provider_name = "iqm" - - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available IQM devices.""" - return ["iqm_adonis", "iqm_apollo"] # NOTE: update when adding new devices - - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["r", "cz", "measure", "barrier"] - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import an iqm backend as a Device object. - - Args: - path: the path to the JSON file containing the calibration data. - - Returns: the Device object - """ - with path.open() as json_file: - iqm_calibration = cast("IQMCalibration", json.load(json_file)) - - device = Device() - device.name = iqm_calibration["name"] - device.num_qubits = iqm_calibration["num_qubits"] - device.basis_gates = iqm_calibration["basis_gates"] - device.coupling_map = list(iqm_calibration["connectivity"]) - calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( - ["r"], 1.0 - iqm_calibration["error"]["one_q"][str(qubit)] - ) - calibration.single_qubit_gate_duration[qubit] = dict.fromkeys( - ["r"], - iqm_calibration["timing"]["one_q"] * 1e-9, # ns to s - ) - calibration.readout_fidelity[qubit] = 1.0 - iqm_calibration["error"]["readout"][str(qubit)] - calibration.readout_duration[qubit] = iqm_calibration["timing"]["readout"] * 1e-9 # ns to s - calibration.t1[qubit] = iqm_calibration["timing"]["t1"][str(qubit)] * 1e-9 # ns to s - calibration.t2[qubit] = iqm_calibration["timing"]["t2"][str(qubit)] * 1e-9 # ns to s - - for qubit1, qubit2 in device.coupling_map: - if (qubit1, qubit2) in calibration.two_qubit_gate_fidelity: - continue # Skip reverse direction - calibration.two_qubit_gate_fidelity[qubit1, qubit2] = { - "cz": 1.0 - iqm_calibration["error"]["two_q"][str(qubit1) + "-" + str(qubit2)] - } - calibration.two_qubit_gate_duration[qubit1, qubit2] = { - "cz": iqm_calibration["timing"]["two_q"] * 1e-9 # ns to s - } - - # Same values for the reverse direction - calibration.two_qubit_gate_fidelity[qubit2, qubit1] = calibration.two_qubit_gate_fidelity[qubit1, qubit2] - calibration.two_qubit_gate_duration[qubit2, qubit1] = calibration.two_qubit_gate_duration[qubit1, qubit2] - - device.calibration = calibration - return device diff --git a/src/mqt/bench/devices/oqc.py b/src/mqt/bench/devices/oqc.py index 14cf54711..c0a4413de 100644 --- a/src/mqt/bench/devices/oqc.py +++ b/src/mqt/bench/devices/oqc.py @@ -3,14 +3,43 @@ from __future__ import annotations import json -from typing import TYPE_CHECKING, TypedDict, cast +from typing import TypedDict, cast -if TYPE_CHECKING: - from pathlib import Path +from .calibration import DeviceCalibration, get_device_calibration_path +from .device import Device, Gateset -from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider + +class OQCLucy(Device): + """OQC Lucy device.""" + + def __init__(self) -> None: + """Initialize the OQC device.""" + with get_device_calibration_path("oqc_lucy").open() as json_file: + self.oqc_calibration = cast("OQCCalibration", json.load(json_file)) + self.calibration = None + + self.name = self.oqc_calibration["name"] + self.gateset = Gateset("oqc", self.oqc_calibration["basis_gates"]) + self.num_qubits = self.oqc_calibration["num_qubits"] + self.coupling_map = list(self.oqc_calibration["connectivity"]) + + def read_calibration(self) -> None: + """Read the calibration data for the device.""" + calibration = DeviceCalibration() + for qubit in range(self.num_qubits): + calibration.single_qubit_gate_fidelity[qubit] = { + gate: self.oqc_calibration["properties"]["one_qubit"][str(qubit)]["fRB"] for gate in ["rz", "sx", "x"] + } + calibration.readout_fidelity[qubit] = self.oqc_calibration["properties"]["one_qubit"][str(qubit)]["fRO"] + # data in microseconds, convert to SI unit (seconds) + calibration.t1[qubit] = self.oqc_calibration["properties"]["one_qubit"][str(qubit)]["T1"] * 1e-6 + calibration.t2[qubit] = self.oqc_calibration["properties"]["one_qubit"][str(qubit)]["T2"] * 1e-6 + + for qubit1, qubit2 in self.coupling_map: + calibration.two_qubit_gate_fidelity[qubit1, qubit2] = dict.fromkeys( + ["ecr"], self.oqc_calibration["properties"]["two_qubit"][f"{qubit1}-{qubit2}"]["fECR"] + ) + self.calibration = calibration class QubitProperties(TypedDict): @@ -52,55 +81,3 @@ class OQCCalibration(TypedDict): num_qubits: int connectivity: list[list[int]] properties: Properties - - -class OQCProvider(Provider): - """Class to manage OQC devices.""" - - provider_name = "oqc" - - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available OQC devices.""" - return ["oqc_lucy"] # NOTE: update when adding new devices - - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["rz", "sx", "x", "ecr", "measure", "barrier"] # lucy - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import an OQC backend. - - Arguments: - path: the path to the JSON file containing the calibration data. - - Returns: - the Device object - """ - with path.open() as json_file: - oqc_calibration = cast("OQCCalibration", json.load(json_file)) - - device = Device() - device.name = oqc_calibration["name"] - device.num_qubits = oqc_calibration["num_qubits"] - device.basis_gates = oqc_calibration["basis_gates"] - device.coupling_map = list(oqc_calibration["connectivity"]) - - calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - calibration.single_qubit_gate_fidelity[qubit] = { - gate: oqc_calibration["properties"]["one_qubit"][str(qubit)]["fRB"] for gate in ["rz", "sx", "x"] - } - calibration.readout_fidelity[qubit] = oqc_calibration["properties"]["one_qubit"][str(qubit)]["fRO"] - # data in microseconds, convert to SI unit (seconds) - calibration.t1[qubit] = oqc_calibration["properties"]["one_qubit"][str(qubit)]["T1"] * 1e-6 - calibration.t2[qubit] = oqc_calibration["properties"]["one_qubit"][str(qubit)]["T2"] * 1e-6 - - for qubit1, qubit2 in device.coupling_map: - calibration.two_qubit_gate_fidelity[qubit1, qubit2] = dict.fromkeys( - ["ecr"], oqc_calibration["properties"]["two_qubit"][f"{qubit1}-{qubit2}"]["fECR"] - ) - device.calibration = calibration - return device diff --git a/src/mqt/bench/devices/provider.py b/src/mqt/bench/devices/provider.py deleted file mode 100644 index e8641a349..000000000 --- a/src/mqt/bench/devices/provider.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Abstract class for a quantum device provider.""" - -from __future__ import annotations - -from abc import ABC, abstractmethod -from dataclasses import dataclass -from importlib import resources -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from pathlib import Path - - from .device import Device - - -@dataclass -class Provider(ABC): - """Abstract class for a quantum device provider.""" - - @property - @abstractmethod - def provider_name(self) -> str: - """Get the name of the provider.""" - - @classmethod - def get_available_devices(cls, sanitize_device: bool = False) -> list[Device]: - """Get a list of all available devices. - - Arguments: - sanitize_device: whether to sanitize the device calibration data - """ - return [cls.get_device(name, sanitize_device=sanitize_device) for name in cls.get_available_device_names()] - - @classmethod - @abstractmethod - def get_available_device_names(cls) -> list[str]: - """Get a list of all available device names.""" - - @classmethod - @abstractmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - - @classmethod - def get_available_basis_gates(cls) -> list[list[str]]: - """Get a list of all available basis gates.""" - unique_basis_gates = {tuple(device.basis_gates) for device in cls.get_available_devices()} - return [list(basis_gates) for basis_gates in unique_basis_gates] - - @classmethod - def get_max_qubits(cls) -> int: - """Get the maximum number of qubits offered by a device from the provider.""" - return max(device.num_qubits for device in cls.get_available_devices()) - - @classmethod - @abstractmethod - def import_backend(cls, path: Path) -> Device: - """Import a device from a file containing calibration data.""" - - @classmethod - def get_device(cls, name: str, sanitize_device: bool = False) -> Device: - """Get a device by name. - - Arguments: - name: the name of the device - sanitize_device: whether to sanitize the device calibration data - """ - if name not in cls.get_available_device_names(): - msg = f"Device {name} not found." - raise ValueError(msg) - - ref = resources.files("mqt.bench") / "calibration_files" / f"{name}_calibration.json" - with resources.as_file(ref) as json_path: - device = cls.import_backend(json_path) - if sanitize_device: - device.sanitize_device() - return device diff --git a/src/mqt/bench/devices/quantinuum.py b/src/mqt/bench/devices/quantinuum.py index 1fcc2d7dd..dfa6f6b7c 100644 --- a/src/mqt/bench/devices/quantinuum.py +++ b/src/mqt/bench/devices/quantinuum.py @@ -3,14 +3,41 @@ from __future__ import annotations import json -from typing import TYPE_CHECKING, TypedDict, cast +from typing import TypedDict, cast -if TYPE_CHECKING: - from pathlib import Path +from .calibration import DeviceCalibration, get_device_calibration_path +from .device import Device, Gateset -from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider + +class QuantinuumH2(Device): + """Quantinuum H2 device.""" + + def __init__(self) -> None: + """Initialize the Quantinuum device.""" + with get_device_calibration_path("quantinuum_h2").open() as json_file: + self.quantinuum_calibration = cast("QuantinuumCalibration", json.load(json_file)) + self.calibration = None + + self.name = self.quantinuum_calibration["name"] + self.gateset = Gateset("quantinuum", self.quantinuum_calibration["basis_gates"]) + self.num_qubits = self.quantinuum_calibration["num_qubits"] + self.coupling_map = list(self.quantinuum_calibration["connectivity"]) + + def read_calibration(self) -> None: + """Read the calibration data for the device.""" + calibration = DeviceCalibration() + for qubit in range(self.num_qubits): + calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( + ["ry", "rx"], self.quantinuum_calibration["fidelity"]["1q"]["mean"] + ) + calibration.single_qubit_gate_fidelity[qubit]["rz"] = 1 # rz is always perfect + calibration.readout_fidelity[qubit] = self.quantinuum_calibration["fidelity"]["spam"]["mean"] + + for qubit1, qubit2 in self.coupling_map: + calibration.two_qubit_gate_fidelity[qubit1, qubit2] = { + "rzz": self.quantinuum_calibration["fidelity"]["2q"]["mean"] + } + self.calibration = calibration class Statistics(TypedDict): @@ -30,52 +57,3 @@ class QuantinuumCalibration(TypedDict): connectivity: list[list[int]] fidelity: Fidelity num_qubits: int - - -class QuantinuumProvider(Provider): - """Class to manage Quantinuum devices.""" - - provider_name = "quantinuum" - - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available Quantinuum devices.""" - return ["quantinuum_h2"] # NOTE: update when adding new devices - - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["rzz", "rz", "ry", "rx", "measure", "barrier"] # h2 - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import an Quantinuum backend as a Device object. - - Arguments: - path: the path to the JSON file containing the calibration data. - - Returns: - the Device object - """ - with path.open() as json_file: - quantinuum_calibration = cast("QuantinuumCalibration", json.load(json_file)) - - device = Device() - device.name = quantinuum_calibration["name"] - device.num_qubits = quantinuum_calibration["num_qubits"] - device.basis_gates = quantinuum_calibration["basis_gates"] - device.coupling_map = list(quantinuum_calibration["connectivity"]) - calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - calibration.single_qubit_gate_fidelity[qubit] = dict.fromkeys( - ["ry", "rx"], quantinuum_calibration["fidelity"]["1q"]["mean"] - ) - calibration.single_qubit_gate_fidelity[qubit]["rz"] = 1 # rz is always perfect - calibration.readout_fidelity[qubit] = quantinuum_calibration["fidelity"]["spam"]["mean"] - - for qubit1, qubit2 in device.coupling_map: - calibration.two_qubit_gate_fidelity[qubit1, qubit2] = { - "rzz": quantinuum_calibration["fidelity"]["2q"]["mean"] - } - device.calibration = calibration - return device diff --git a/src/mqt/bench/devices/rigetti.py b/src/mqt/bench/devices/rigetti.py index bad9dcdb9..381aab2fb 100644 --- a/src/mqt/bench/devices/rigetti.py +++ b/src/mqt/bench/devices/rigetti.py @@ -4,146 +4,41 @@ import json import warnings -from typing import TYPE_CHECKING, TypedDict, cast +from typing import TypedDict, cast -if TYPE_CHECKING: - from pathlib import Path +from .calibration import DeviceCalibration, get_device_calibration_path +from .device import Device, Gateset -from .calibration import DeviceCalibration -from .device import Device -from .provider import Provider +class RigettiAspenM3(Device): + """Rigetti Aspen M3 device.""" -class QubitProperties(TypedDict): - """Class to store the properties of a single qubit.""" - - fActiveReset: float - fRO: float - f1QRB: float - f1QRB_std_err: float - f1Q_simultaneous_RB: float - f1Q_simultaneous_RB_std_err: float - T1: float - T2: float - - -class TwoQubitProperties(TypedDict): - """Class to store the properties of a two-qubit gate.""" - - fCZ: float - fCZ_std_err: float - fCPHASE: float - fCPHASE_std_err: float - fXY: float - fXY_std_err: float - - -Properties = TypedDict("Properties", {"1Q": dict[str, QubitProperties], "2Q": dict[str, TwoQubitProperties]}) - - -class RigettiCalibration(TypedDict): - """Class to store the calibration data of a Rigetti device.""" + def __init__(self) -> None: + """Initialize the Rigetti Aspen M3 device.""" + with get_device_calibration_path("rigetti_aspen_m3").open() as json_file: + self.rigetti_calibration = cast("RigettiCalibration", json.load(json_file)) + self.calibration = None - name: str - num_qubits: int - basis_gates: list[str] - connectivity: list[tuple[int, int]] - properties: Properties - - -class RigettiProvider(Provider): - """Class to manage Rigetti devices.""" - - provider_name = "rigetti" - - @classmethod - def get_available_device_names(cls) -> list[str]: - """Get the names of all available Rigetti devices.""" - return ["rigetti_aspen_m3"] # NOTE: update when adding new devices - - @classmethod - def get_native_gates(cls) -> list[str]: - """Get a list of provider specific native gates.""" - return ["rx", "rz", "cz", "cp", "xx_plus_yy", "measure", "barrier"] # aspen_m3 - - @classmethod - def __from_rigetti_index(cls, rigetti_index: int) -> int: - """Convert the Rigetti qubit index to a consecutive index. - - The Rigetti architectures consist of 8-qubit rings arranged in a two-dimensional grid. - Each qubit is identified by a three digit number, where: - * the first digit is the row index, - * the second digit is the column index, and - * the third digit is the ring index. - - Arguments: - rigetti_index: the Rigetti qubit index - - Returns: the consecutive index - """ - ring_size = 8 - columns = 5 - row = rigetti_index // 100 - column = (rigetti_index % 100) // 10 - ring = rigetti_index % 10 - qubit_indx = row * (ring_size * columns) + column * ring_size + ring - # Account for missing qubit in Aspen-M3 - # rigetti_index: 136 = qubit_indx: 70 - if qubit_indx >= 70: - qubit_indx = qubit_indx - 1 - return qubit_indx - - @classmethod - def __to_rigetti_index(cls, index: int) -> int: - """Convert the consecutive index to the Rigetti qubit index. - - Arguments: - index: the consecutive index. - - Returns: the Rigetti qubit index - """ - # Account for missing qubit in Aspen-M3 - # rigetti_index: 136 = qubit_indx: 70 - if index >= 70: - index = index + 1 - ring_size = 8 - columns = 5 - row = index // (ring_size * columns) - column = (index % (ring_size * columns)) // ring_size - ring = (index % (ring_size * columns)) % ring_size - return row * 100 + column * 10 + ring - - @classmethod - def import_backend(cls, path: Path) -> Device: - """Import a Rigetti backend. - - Arguments: - path: the path to the JSON file containing the calibration data. - - Returns: - the Device object - """ - with path.open() as json_file: - rigetti_calibration = cast("RigettiCalibration", json.load(json_file)) - - device = Device() - device.name = rigetti_calibration["name"] - device.num_qubits = rigetti_calibration["num_qubits"] - device.basis_gates = rigetti_calibration["basis_gates"] - - device.coupling_map = [ - [cls.__from_rigetti_index(a), cls.__from_rigetti_index(b)] for a, b in rigetti_calibration["connectivity"] + self.name = self.rigetti_calibration["name"] + self.gateset = Gateset("rigetti", self.rigetti_calibration["basis_gates"]) + self.num_qubits = self.rigetti_calibration["num_qubits"] + self.coupling_map = [ + [from_rigetti_index(a), from_rigetti_index(b)] for a, b in self.rigetti_calibration["connectivity"] ] + def read_calibration(self) -> None: + """Read the calibration data for the device.""" calibration = DeviceCalibration() - for qubit in range(device.num_qubits): - rigetti_index = cls.__to_rigetti_index(qubit) + for qubit in range(self.num_qubits): + rigetti_index = to_rigetti_index(qubit) calibration.single_qubit_gate_fidelity[qubit] = { - gate: rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["f1QRB"] for gate in ["rx", "rz"] + gate: self.rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["f1QRB"] for gate in ["rx", "rz"] } - calibration.readout_fidelity[qubit] = rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["fRO"] - calibration.t1[qubit] = rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["T1"] - calibration.t2[qubit] = rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["T2"] + calibration.readout_fidelity[qubit] = self.rigetti_calibration["properties"]["1Q"][str(rigetti_index)][ + "fRO" + ] + calibration.t1[qubit] = self.rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["T1"] + calibration.t2[qubit] = self.rigetti_calibration["properties"]["1Q"][str(rigetti_index)]["T2"] # Store the fidelity data of all two-qubit gates for averaging cz_lst, cp_lst, xx_plus_yy_lst = [], [], [] @@ -153,26 +48,26 @@ def import_backend(cls, path: Path) -> Device: ) warnings.warn(msg, stacklevel=1) - for qubit1, qubit2 in device.coupling_map: - rigetti_index1 = cls.__to_rigetti_index(qubit1) - rigetti_index2 = cls.__to_rigetti_index(qubit2) + for qubit1, qubit2 in self.coupling_map: + rigetti_index1 = to_rigetti_index(qubit1) + rigetti_index2 = to_rigetti_index(qubit2) if qubit1 > qubit2: # Rigetti calibration data is symmetric continue # Reverse edge will be set later edge = f"{rigetti_index1}-{rigetti_index2}" fidelity = {} try: # Collect the fidelity data if available and save in lst for averaging - fidelity["cz"] = rigetti_calibration["properties"]["2Q"][edge]["fCZ"] + fidelity["cz"] = self.rigetti_calibration["properties"]["2Q"][edge]["fCZ"] cz_lst.append(fidelity["cz"]) except KeyError: # If not available, set to -1 to indicate missing fidelity["cz"] = -1.0 try: - fidelity["cp"] = rigetti_calibration["properties"]["2Q"][edge]["fCPHASE"] + fidelity["cp"] = self.rigetti_calibration["properties"]["2Q"][edge]["fCPHASE"] cp_lst.append(fidelity["cp"]) except KeyError: fidelity["cp"] = -1.0 try: - fidelity["xx_plus_yy"] = rigetti_calibration["properties"]["2Q"][edge]["fXY"] + fidelity["xx_plus_yy"] = self.rigetti_calibration["properties"]["2Q"][edge]["fXY"] xx_plus_yy_lst.append(fidelity["xx_plus_yy"]) except KeyError: fidelity["xx_plus_yy"] = -1.0 @@ -185,7 +80,7 @@ def import_backend(cls, path: Path) -> Device: cp_avg = sum(cp_lst) / len(cp_lst) xx_plus_yy_avg = sum(xx_plus_yy_lst) / len(xx_plus_yy_lst) - for qubit1, qubit2 in device.coupling_map: + for qubit1, qubit2 in self.coupling_map: if qubit1 > qubit2: continue # Check if the fidelity data is missing (== -1) and set to average if so @@ -198,5 +93,88 @@ def import_backend(cls, path: Path) -> Device: # Rigetti calibration data is symmetric, set same values for reverse edge calibration.two_qubit_gate_fidelity[qubit2, qubit1] = calibration.two_qubit_gate_fidelity[qubit1, qubit2] - device.calibration = calibration - return device + self.calibration = calibration + + +class QubitProperties(TypedDict): + """Class to store the properties of a single qubit.""" + + fActiveReset: float + fRO: float + f1QRB: float + f1QRB_std_err: float + f1Q_simultaneous_RB: float + f1Q_simultaneous_RB_std_err: float + T1: float + T2: float + + +class TwoQubitProperties(TypedDict): + """Class to store the properties of a two-qubit gate.""" + + fCZ: float + fCZ_std_err: float + fCPHASE: float + fCPHASE_std_err: float + fXY: float + fXY_std_err: float + + +Properties = TypedDict("Properties", {"1Q": dict[str, QubitProperties], "2Q": dict[str, TwoQubitProperties]}) + + +class RigettiCalibration(TypedDict): + """Class to store the calibration data of a Rigetti device.""" + + name: str + num_qubits: int + basis_gates: list[str] + connectivity: list[tuple[int, int]] + properties: Properties + + +def from_rigetti_index(rigetti_index: int) -> int: + """Convert the Rigetti qubit index to a consecutive index. + + The Rigetti architectures consist of 8-qubit rings arranged in a two-dimensional grid. + Each qubit is identified by a three digit number, where: + * the first digit is the row index, + * the second digit is the column index, and + * the third digit is the ring index. + + Arguments: + rigetti_index: the Rigetti qubit index + + Returns: the consecutive index + """ + ring_size = 8 + columns = 5 + row = rigetti_index // 100 + column = (rigetti_index % 100) // 10 + ring = rigetti_index % 10 + qubit_indx = row * (ring_size * columns) + column * ring_size + ring + # Account for missing qubit in Aspen-M3 + # rigetti_index: 136 = qubit_indx: 70 + if qubit_indx >= 70: + qubit_indx = qubit_indx - 1 + return qubit_indx + + +def to_rigetti_index(index: int) -> int: + """Convert the consecutive index to the Rigetti qubit index. + + Arguments: + index: the consecutive index. + + Returns: the Rigetti qubit index + """ + # Account for missing qubit in Aspen-M3 + # rigetti_index: 136 = qubit_indx: 70 + if index >= 70: + index = index + 1 + ring_size = 8 + columns = 5 + row = index // (ring_size * columns) + column = (index % (ring_size * columns)) // ring_size + ring = (index % (ring_size * columns)) % ring_size + return row * 100 + column * 10 + ring diff --git a/src/mqt/bench/qiskit_helper.py b/src/mqt/bench/qiskit_helper.py index 8edd30f17..814ebeb5b 100644 --- a/src/mqt/bench/qiskit_helper.py +++ b/src/mqt/bench/qiskit_helper.py @@ -8,14 +8,54 @@ if TYPE_CHECKING: # pragma: no cover from qiskit import QuantumCircuit - from .devices import Device, Provider + from .devices import Device, Gateset from qiskit import transpile -from qiskit.qasm2 import dumps from .utils import get_openqasm_gates, save_as_qasm +def get_alg_level( + qc: QuantumCircuit, + num_qubits: int | None, + file_precheck: bool, + return_qc: bool = False, + target_directory: str = "./", + target_filename: str = "", + qasm_format: str = "qasm3", +) -> bool | QuantumCircuit: + """Handles the creation of the benchmark on the algorithm level. + + Arguments: + qc: quantum circuit which the to be created benchmark circuit is based on + num_qubits: number of qubits + file_precheck: flag indicating whether to check whether the file already exists before creating it (again) + return_qc: flag if the actual circuit shall be returned + target_directory: alternative directory to the default one to store the created circuit + target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) + + + Returns: + if return_qc == True: quantum circuit object + else: True/False indicating whether the function call was successful or not + """ + if return_qc: + return qc + + if qasm_format == "qasm2": + msg = "'qasm2' is not supported for the algorithm level, please use 'qasm3' instead." + raise ValueError(msg) + filename_alg = target_filename or qc.name + "_alg_qiskit_" + str(num_qubits) + "_" + qasm_format + + path = Path(target_directory, filename_alg + ".qasm") + + if file_precheck and path.is_file(): + return True + + return save_as_qasm(qc=qc, filename=filename_alg, qasm_format="qasm3", target_directory=target_directory) + + @overload def get_indep_level( qc: QuantumCircuit, @@ -24,6 +64,7 @@ def get_indep_level( return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> QuantumCircuit: ... @@ -35,6 +76,7 @@ def get_indep_level( return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool: ... @@ -45,6 +87,7 @@ def get_indep_level( return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool | QuantumCircuit: """Handles the creation of the benchmark on the target-independent level. @@ -55,12 +98,14 @@ def get_indep_level( return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) + Returns: if return_qc == True: quantum circuit object else: True/False indicating whether the function call was successful or not """ - filename_indep = target_filename or qc.name + "_indep_qiskit_" + str(num_qubits) + filename_indep = target_filename or qc.name + "_indep_qiskit_" + str(num_qubits) + "_" + qasm_format path = Path(target_directory, filename_indep + ".qasm") if file_precheck and path.is_file(): @@ -70,60 +115,63 @@ def get_indep_level( if return_qc: return target_independent + return save_as_qasm( - dumps(target_independent), - filename_indep, - target_directory=target_directory, + qc=target_independent, filename=filename_indep, qasm_format=qasm_format, target_directory=target_directory ) @overload def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, opt_level: int, file_precheck: bool, return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> QuantumCircuit: ... @overload def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, opt_level: int, file_precheck: bool, return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool: ... def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, opt_level: int, file_precheck: bool, return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool | QuantumCircuit: """Handles the creation of the benchmark on the target-dependent native gates level. Arguments: qc: quantum circuit which the to be created benchmark circuit is based on - provider: determines the native gate set + gateset: contains the name of the gateset and a list of native gates num_qubits: number of qubits opt_level: optimization level file_precheck: flag indicating whether to check whether the file already exists before creating it (again) return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) Returns: if return_qc == True: quantum circuit object @@ -131,7 +179,7 @@ def get_native_gates_level( """ if not target_filename: filename_native = ( - qc.name + "_nativegates_" + provider.provider_name + "_qiskit_opt" + str(opt_level) + "_" + str(num_qubits) + qc.name + "_nativegates_" + gateset.gateset_name + "_qiskit_opt" + str(opt_level) + "_" + str(num_qubits) ) else: filename_native = target_filename @@ -140,16 +188,41 @@ def get_native_gates_level( if file_precheck and path.is_file(): return True - gate_set = provider.get_native_gates() - compiled_without_architecture = transpile( - qc, basis_gates=gate_set, optimization_level=opt_level, seed_transpiler=10 - ) + if gateset.gateset_name == "clifford+t": + from qiskit.converters import circuit_to_dag, dag_to_circuit # noqa: PLC0415 + from qiskit.transpiler.passes.synthesis import SolovayKitaev # noqa: PLC0415 + + # Transpile the circuit to single- and two-qubit gates including rotations + compiled_for_sk = transpile( + qc, + basis_gates=[*gateset.gates, "rx", "ry", "rz"], + optimization_level=opt_level, + seed_transpiler=10, + ) + # Synthesize the rotations to Clifford+T gates + # Measurements are removed and added back after the synthesis to avoid errors in the Solovay-Kitaev pass + pass_ = SolovayKitaev() + new_qc = dag_to_circuit(pass_.run(circuit_to_dag(compiled_for_sk.remove_final_measurements(inplace=False)))) + new_qc.measure_all() + # Transpile once more to remove unnecessary gates and optimize the circuit + compiled_without_architecture = transpile( + new_qc, + basis_gates=gateset.gates, + optimization_level=opt_level, + seed_transpiler=10, + ) + else: + compiled_without_architecture = transpile( + qc, basis_gates=gateset.gates, optimization_level=opt_level, seed_transpiler=10 + ) if return_qc: return compiled_without_architecture + return save_as_qasm( - dumps(compiled_without_architecture), - filename_native, - gate_set, + qc=compiled_without_architecture, + filename=filename_native, + qasm_format=qasm_format, + gateset=gateset.gates, target_directory=target_directory, ) @@ -164,6 +237,7 @@ def get_mapped_level( return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> QuantumCircuit: ... @@ -177,6 +251,7 @@ def get_mapped_level( return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool: ... @@ -189,6 +264,7 @@ def get_mapped_level( return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm3", ) -> bool | QuantumCircuit: """Handles the creation of the benchmark on the target-dependent mapped level. @@ -201,6 +277,7 @@ def get_mapped_level( return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) Returns: if return_qc == True: quantum circuit object @@ -219,17 +296,19 @@ def get_mapped_level( compiled_with_architecture = transpile( qc, optimization_level=opt_level, - basis_gates=device.basis_gates, + basis_gates=device.gateset.gates, coupling_map=c_map, seed_transpiler=10, ) if return_qc: return compiled_with_architecture + return save_as_qasm( - dumps(compiled_with_architecture), - filename_mapped, - device.basis_gates, - True, - c_map, - target_directory, + qc=compiled_with_architecture, + filename=filename_mapped, + qasm_format=qasm_format, + gateset=device.gateset.gates, + mapped=True, + c_map=c_map, + target_directory=target_directory, ) diff --git a/src/mqt/bench/tket_helper.py b/src/mqt/bench/tket_helper.py index 63b71596d..3dead3f47 100644 --- a/src/mqt/bench/tket_helper.py +++ b/src/mqt/bench/tket_helper.py @@ -17,20 +17,19 @@ RoutingPass, SynthesiseTket, ) -from pytket.placement import GraphPlacement, LinePlacement -from pytket.qasm import circuit_to_qasm_str +from pytket.placement import LinePlacement from qiskit import QuantumCircuit, transpile -from .utils import convert_cmap_to_tuple_list, get_openqasm_gates, save_as_qasm +from .utils import get_openqasm_gates, save_as_qasm if TYPE_CHECKING: # pragma: no cover from pytket._tket.passes import BasePass from pytket.circuit import Circuit - from .devices import Device, Provider + from .devices import Device, Gateset -def get_rebase(gate_set: list[str]) -> BasePass: +def get_rebase(gateset: list[str]) -> BasePass: """Get the rebase pass for the given gate set.""" op_dict = { "r": OpType.U3, @@ -46,7 +45,7 @@ def get_rebase(gate_set: list[str]) -> BasePass: "ecr": OpType.ECR, "measure": OpType.Measure, } - return AutoRebase({op_dict[key] for key in gate_set if key in op_dict}) + return AutoRebase({op_dict[key] for key in gateset if key in op_dict}) @overload @@ -57,6 +56,7 @@ def get_indep_level( return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> Circuit: ... @@ -68,6 +68,7 @@ def get_indep_level( return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool: ... @@ -78,6 +79,7 @@ def get_indep_level( return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool | Circuit: """Handles the creation of the benchmark on the target-independent level. @@ -88,6 +90,7 @@ def get_indep_level( return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) Returns: if return_qc == True: quantum circuit object @@ -114,8 +117,9 @@ def get_indep_level( if return_qc: return qc_tket return save_as_qasm( - circuit_to_qasm_str(qc_tket, maxwidth=qc.num_qubits), - filename_indep, + qc=qc_tket, + filename=filename_indep, + qasm_format=qasm_format, target_directory=target_directory, ) @@ -123,53 +127,60 @@ def get_indep_level( @overload def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, file_precheck: bool, return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> Circuit: ... @overload def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, file_precheck: bool, return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool: ... def get_native_gates_level( qc: QuantumCircuit, - provider: Provider, + gateset: Gateset, num_qubits: int | None, file_precheck: bool, return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool | Circuit: """Handles the creation of the benchmark on the target-dependent native gates level. Arguments: qc: quantum circuit which the to be created benchmark circuit is based on - provider: determines the native gate set + gateset: contains the name of the gateset and a list of native gates num_qubits: number of qubits file_precheck: flag indicating whether to check whether the file already exists before creating it (again) return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) Returns: if return_qc == True: quantum circuit object else: True/False indicating whether the function call was successful or not """ + if gateset.gateset_name == "clifford+t": + msg = "The gateset 'clifford+t' is not supported by TKET. Please use Qiskit instead." + raise ValueError(msg) if not target_filename: - filename_native = qc.name + "_nativegates_" + provider.provider_name + "_tket_" + str(num_qubits) + filename_native = qc.name + "_nativegates_" + gateset.gateset_name + "_tket_" + str(num_qubits) else: filename_native = target_filename @@ -190,18 +201,18 @@ def get_native_gates_level( print("TKET Exception NativeGates: ", e) return False - gate_set = provider.get_native_gates() - native_gate_set_rebase = get_rebase(gate_set) - native_gate_set_rebase.apply(qc_tket) + native_gateset_rebase = get_rebase(gateset.gates) + native_gateset_rebase.apply(qc_tket) FullPeepholeOptimise(target_2qb_gate=OpType.TK2).apply(qc_tket) - native_gate_set_rebase.apply(qc_tket) + native_gateset_rebase.apply(qc_tket) if return_qc: return qc_tket return save_as_qasm( - circuit_to_qasm_str(qc_tket, maxwidth=qc.num_qubits), - filename_native, - gate_set, + qc=qc_tket, + filename=filename_native, + qasm_format=qasm_format, + gateset=gateset.gates, target_directory=target_directory, ) @@ -211,11 +222,11 @@ def get_mapped_level( qc: QuantumCircuit, num_qubits: int | None, device: Device, - lineplacement: bool, file_precheck: bool, return_qc: Literal[True], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> Circuit: ... @@ -224,11 +235,11 @@ def get_mapped_level( qc: QuantumCircuit, num_qubits: int | None, device: Device, - lineplacement: bool, file_precheck: bool, return_qc: Literal[False], target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool: ... @@ -236,11 +247,11 @@ def get_mapped_level( qc: QuantumCircuit, num_qubits: int | None, device: Device, - lineplacement: bool, file_precheck: bool, return_qc: bool = False, target_directory: str = "./", target_filename: str = "", + qasm_format: str = "qasm2", ) -> bool | Circuit: """Handles the creation of the benchmark on the target-dependent mapped level. @@ -248,20 +259,18 @@ def get_mapped_level( qc: quantum circuit which the to be created benchmark circuit is based on num_qubits: number of qubits device: target device - lineplacement: if true line placement is used, else graph placement file_precheck: flag indicating whether to check whether the file already exists before creating it (again) return_qc: flag if the actual circuit shall be returned target_directory: alternative directory to the default one to store the created circuit target_filename: alternative filename to the default one + qasm_format: qasm format (qasm2 or qasm3) Returns: if return_qc == True: quantum circuit object else: True/False indicating whether the function call was successful or not """ - placement = "line" if lineplacement else "graph" - if not target_filename: - filename_mapped = qc.name + "_mapped_" + device.name + "_tket_" + placement + "_" + str(num_qubits) + filename_mapped = qc.name + "_mapped_" + device.name + "_tket_" + str(num_qubits) else: filename_mapped = target_filename @@ -284,7 +293,7 @@ def get_mapped_level( return False cmap = device.coupling_map - cmap_converted = convert_cmap_to_tuple_list(cmap) + cmap_converted = [(c[0], c[1]) for c in cmap] arch = Architecture(cmap_converted) # add blank wires to the circuit such that afterwards the number of qubits is equal to the number of qubits of the architecture @@ -292,25 +301,27 @@ def get_mapped_level( diff = highest_used_qubit_index + 1 - qc_tket.n_qubits # offset of one is added because the indices start at 0 qc_tket.add_blank_wires(diff) - native_gate_set_rebase = get_rebase(device.basis_gates) - native_gate_set_rebase.apply(qc_tket) + native_gateset_rebase = get_rebase(device.gateset.gates) + native_gateset_rebase.apply(qc_tket) FullPeepholeOptimise(target_2qb_gate=OpType.TK2).apply(qc_tket) - placer = LinePlacement(arch) if lineplacement else GraphPlacement(arch) + placer = LinePlacement(arch) PlacementPass(placer).apply(qc_tket) RoutingPass(arch).apply(qc_tket) PeepholeOptimise2Q(allow_swaps=False).apply(qc_tket) SynthesiseTket().apply(qc_tket) if not qc_tket.valid_connectivity(arch, directed=True): CXMappingPass(arc=arch, placer=placer, directed_cx=True, delay_measures=False).apply(qc_tket) - native_gate_set_rebase.apply(qc_tket) - + native_gateset_rebase.apply(qc_tket) if return_qc: return qc_tket + return save_as_qasm( - circuit_to_qasm_str(qc_tket, maxwidth=qc.num_qubits), - filename_mapped, - device.basis_gates, - True, - cmap, - target_directory, + qc=qc_tket, + filename=filename_mapped, + qasm_format=qasm_format, + gateset=device.gateset.gates, + mapped=True, + c_map=cmap, + target_directory=target_directory, + initial_qubits=qc.num_qubits, ) diff --git a/src/mqt/bench/utils.py b/src/mqt/bench/utils.py index f9dac75b2..b34392d4e 100644 --- a/src/mqt/bench/utils.py +++ b/src/mqt/bench/utils.py @@ -10,16 +10,19 @@ import networkx as nx import numpy as np +from pytket import Circuit from pytket import __version__ as __tket_version__ +from pytket.extensions.qiskit import tk_to_qiskit +from pytket.qasm import circuit_to_qasm_str from qiskit import QuantumCircuit from qiskit import __version__ as __qiskit_version__ from qiskit.converters import circuit_to_dag +from qiskit.qasm2 import dumps as dumps2 +from qiskit.qasm3 import dumps as dumps3 if TYPE_CHECKING: # pragma: no cover from types import ModuleType - from qiskit_optimization import QuadraticProgram - @dataclass class SupermarqFeatures: @@ -36,13 +39,12 @@ def get_supported_benchmarks() -> list[str]: """Returns a list of all supported benchmarks.""" return [ "ae", + "bv", "dj", "grover-noancilla", "grover-v-chain", "ghz", "graphstate", - "portfolioqaoa", - "portfoliovqe", "qaoa", "qft", "qftentangled", @@ -51,18 +53,12 @@ def get_supported_benchmarks() -> list[str]: "qpeinexact", "qwalk-noancilla", "qwalk-v-chain", - "random", - "realamprandom", - "su2random", - "twolocalrandom", - "vqe", + "randomcircuit", + "vqerealamprandom", + "vqesu2random", + "vqetwolocalrandom", "wstate", "shor", - "pricingcall", - "pricingput", - "groundstate", - "routing", - "tsp", ] @@ -83,31 +79,7 @@ def get_default_config_path() -> str: def get_default_qasm_output_path() -> str: """Returns the path where all .qasm files are stored.""" - return str(resources.files("mqt.bench") / "viewer" / "static" / "files" / "qasm_output") - - -def get_default_evaluation_output_path() -> str: - """Returns the path where all .qasm files are stored.""" - return str(resources.files("mqt.bench") / "evaluation") - - -def get_zip_folder_path() -> str: - """Returns the path where the zip file is stored.""" - return str(resources.files("mqt.bench") / "viewer" / "static" / "files") - - -def get_examplary_max_cut_qp(n_nodes: int, degree: int = 2) -> QuadraticProgram: - """Returns a quadratic problem formulation of a max cut problem of a random graph. - - Arguments: - n_nodes: number of graph nodes (and also number of qubits) - degree: edges per node - """ - from qiskit_optimization.applications import Maxcut # noqa: PLC0415 lazy import to reduce import cost - - graph = nx.random_regular_graph(d=degree, n=n_nodes, seed=111) - maxcut = Maxcut(graph) - return maxcut.to_quadratic_program() + return str(resources.files("mqt.bench") / "qasm_output") def get_openqasm_gates() -> list[str]: @@ -160,28 +132,46 @@ def get_openqasm_gates() -> list[str]: def save_as_qasm( - qc_str: str, + qc: QuantumCircuit | Circuit, filename: str, - gate_set: list[str] | None = None, + qasm_format: str = "qasm2", + gateset: list[str] | None = None, mapped: bool = False, c_map: list[list[int]] | None = None, target_directory: str = "", + initial_qubits: int = 32, ) -> bool: """Saves a quantum circuit as a qasm file. Arguments: - qc_str: Quantum circuit to be stored as a string + qc: Quantum circuit to be stored as a string filename: filename - gate_set: set of used gates + qasm_format: qasm format (qasm2 or qasm3) + gateset: set of used gates mapped: boolean indicating whether the quantum circuit is mapped to a specific hardware layout c_map: coupling map of used hardware layout target_directory: directory where the qasm file is stored + initial_qubits: number of qubits of the original quantum circuit (only need for mapped TKET circuits) """ if c_map is None: c_map = [] file = Path(target_directory, filename + ".qasm") + if qasm_format == "qasm2": + if isinstance(qc, QuantumCircuit): + qc_str = dumps2(qc) + elif isinstance(qc, Circuit): + qc_str = circuit_to_qasm_str(qc, maxwidth=initial_qubits) + elif qasm_format == "qasm3": + if isinstance(qc, QuantumCircuit): + qc_str = dumps3(qc) + elif isinstance(qc, Circuit): + qc_str = dumps3(tk_to_qiskit(qc)) # pytket does not support qasm3 export at the moment + else: + msg = f"Unknown qasm format: {qasm_format}" + raise ValueError(msg) + try: mqtbench_module_version = metadata.version("mqt.bench") except Exception: @@ -196,8 +186,8 @@ def save_as_qasm( f.write("// Qiskit version: " + str(__qiskit_version__) + "\n") elif "tket" in filename: f.write("// TKET version: " + str(__tket_version__) + "\n") - if gate_set: - f.write("// Used Gate Set: " + str(gate_set) + "\n") + if gateset: + f.write("// Used Gate Set: " + str(gateset) + "\n") if mapped: f.write("// Coupling List: " + str(c_map) + "\n") f.write("\n") @@ -264,19 +254,4 @@ def calc_supermarq_features( def get_module_for_benchmark(benchmark_name: str) -> ModuleType: """Returns the module for a specific benchmark.""" - if benchmark_name in ["portfolioqaoa", "portfoliovqe", "pricingcall", "pricingput"]: - return import_module("mqt.bench.benchmarks.qiskit_application_finance." + benchmark_name) - if benchmark_name == "qnn": - return import_module("mqt.bench.benchmarks.qiskit_application_ml.qnn") - if benchmark_name == "groundstate": - return import_module("mqt.bench.benchmarks.qiskit_application_nature.groundstate") - if benchmark_name == "routing": - return import_module("mqt.bench.benchmarks.qiskit_application_optimization.routing") - if benchmark_name == "tsp": - return import_module("mqt.bench.benchmarks.qiskit_application_optimization.tsp") return import_module("mqt.bench.benchmarks." + benchmark_name) - - -def convert_cmap_to_tuple_list(c_map: list[list[int]]) -> list[tuple[int, int]]: - """Converts a coupling map to a list of tuples.""" - return [(c[0], c[1]) for c in c_map] diff --git a/tests/devices/test_devices.py b/tests/devices/test_devices.py index 647ff3197..852cbfb9c 100644 --- a/tests/devices/test_devices.py +++ b/tests/devices/test_devices.py @@ -8,19 +8,20 @@ from mqt.bench.devices import ( Device, - DeviceCalibration, - NotFoundError, + IBMWashington, get_available_devices, - get_available_providers, - get_provider_by_name, + get_device_by_name, + get_native_gateset_by_name, ) +from mqt.bench.devices.calibration import get_device_calibration_path +from mqt.bench.devices.ionq import DeviceCalibration, IonQHarmony -@pytest.mark.parametrize( - "device", get_available_devices(sanitize_device=True), ids=lambda device: cast("str", device.name) -) +@pytest.mark.parametrize("device", get_available_devices(), ids=lambda device: cast("str", device.name)) def test_sanitized_devices(device: Device) -> None: """Test that all devices can be sanitized and provide complete fidelity data.""" + device.read_calibration() + device.sanitize_device() assert device.calibration is not None for qubit in range(device.num_qubits): assert qubit in device.calibration.single_qubit_gate_fidelity @@ -36,74 +37,96 @@ def test_sanitized_devices(device: Device) -> None: assert device.calibration.two_qubit_gate_fidelity[qubit1, qubit2][gate] > 0 +def test_unsupported_device() -> None: + """Test that unsupported devices raise errors.""" + with pytest.raises(ValueError, match="Device unsupported not found in available devices."): + get_device_by_name("unsupported") + with pytest.raises(ValueError, match="Gateset unsupported not found in available gatesets."): + get_native_gateset_by_name("unsupported") + + +def test_device_calibration_autoread() -> None: + """Test that all device calibration methods raise errors when no calibration data is available.""" + IBMWashington() + + def test_device_calibration_errors() -> None: """Test that all device calibration methods raise errors when no calibration data is available.""" - device = Device(name="test", num_qubits=1, basis_gates=[], coupling_map=[], calibration=None) - - # Test all methods with no calibration - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_single_qubit_gate_fidelity("gate1", 0) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_single_qubit_gate_duration("gate1", 0) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_two_qubit_gate_fidelity("gate2", 0, 1) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_two_qubit_gate_duration("gate2", 0, 1) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_readout_fidelity(0) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.get_readout_duration(0) - with pytest.raises(ValueError, match="Calibration data not available for device test."): - device.sanitize_device() + device = IonQHarmony() + device.calibration = DeviceCalibration() + qubit1, qubit2 = -1, -2 + gate = "wrong" # Test all methods with missing calibration data - device.calibration = DeviceCalibration() - with pytest.raises(ValueError, match="Gate gate1 not supported by device test."): - device.get_single_qubit_gate_fidelity("gate1", 0) - with pytest.raises(ValueError, match="Gate gate1 not supported by device test."): - device.get_single_qubit_gate_duration("gate1", 0) - with pytest.raises(ValueError, match="Gate gate2 not supported by device test."): - device.get_two_qubit_gate_fidelity("gate2", 0, 1) - with pytest.raises(ValueError, match="Gate gate2 not supported by device test."): - device.get_two_qubit_gate_duration("gate2", 0, 1) + with pytest.raises(ValueError, match="Gate wrong not supported by device ionq_harmony."): + device.get_single_qubit_gate_fidelity(gate, qubit1) + with pytest.raises(ValueError, match="Gate wrong not supported by device ionq_harmony."): + device.get_single_qubit_gate_duration(gate, qubit1) + with pytest.raises(ValueError, match="Gate wrong not supported by device ionq_harmony."): + device.get_two_qubit_gate_fidelity(gate, qubit1, qubit2) + with pytest.raises(ValueError, match="Gate wrong not supported by device ionq_harmony."): + device.get_two_qubit_gate_duration(gate, qubit1, qubit2) with pytest.raises(ValueError, match="Readout fidelity values not available."): - device.get_readout_fidelity(0) + device.get_readout_fidelity(qubit1) with pytest.raises(ValueError, match="Readout duration values not available."): - device.get_readout_duration(0) + device.get_readout_duration(qubit1) + with pytest.raises(ValueError, match="Single-qubit gate fidelity values not available."): - device.calibration.get_single_qubit_gate_fidelity("gate_type", 0) + device.calibration.get_single_qubit_gate_fidelity(gate, qubit1) with pytest.raises(ValueError, match="Single-qubit gate duration values not available."): - device.calibration.get_single_qubit_gate_duration("gate_type", 0) + device.calibration.get_single_qubit_gate_duration(gate, qubit1) with pytest.raises(ValueError, match="Two-qubit gate fidelity values not available."): - device.calibration.get_two_qubit_gate_fidelity("gate_type", 0, 1) + device.calibration.get_two_qubit_gate_fidelity(gate, qubit1, qubit2) with pytest.raises(ValueError, match="Two-qubit gate duration values not available."): - device.calibration.get_two_qubit_gate_duration("gate_type", 0, 1) - with pytest.raises(ValueError, match="Readout fidelity values not available."): - device.calibration.get_readout_fidelity(0) - with pytest.raises(ValueError, match="Readout duration values not available."): - device.calibration.get_readout_duration(0) + device.calibration.get_two_qubit_gate_duration(gate, qubit1, qubit2) with pytest.raises(ValueError, match="T1 values not available."): - device.calibration.get_t1(0) + device.calibration.get_t1(qubit1) with pytest.raises(ValueError, match="T2 values not available."): - device.calibration.get_t2(0) + device.calibration.get_t2(qubit1) with pytest.raises(ValueError, match="Single-qubit gate fidelity values not available."): - device.calibration.compute_average_single_qubit_gate_fidelity("gate") + device.calibration.compute_average_single_qubit_gate_fidelity(gate) with pytest.raises(ValueError, match="Single-qubit gate duration values not available."): - device.calibration.compute_average_single_qubit_gate_duration("gate") + device.calibration.compute_average_single_qubit_gate_duration(gate) with pytest.raises(ValueError, match="Two-qubit gate fidelity values not available."): - device.calibration.compute_average_two_qubit_gate_fidelity("gate") + device.calibration.compute_average_two_qubit_gate_fidelity(gate) with pytest.raises(ValueError, match="Two-qubit gate duration values not available."): - device.calibration.compute_average_two_qubit_gate_duration("gate") + device.calibration.compute_average_two_qubit_gate_duration(gate) with pytest.raises(ValueError, match="Readout fidelity values not available."): device.calibration.compute_average_readout_fidelity() with pytest.raises(ValueError, match="Readout duration values not available."): device.calibration.compute_average_readout_duration() + device.read_calibration() + with pytest.raises(ValueError, match=f"Single-qubit fidelity for gate {gate} and qubit {qubit1} not available."): + device.calibration.get_single_qubit_gate_fidelity(gate, qubit1) + with pytest.raises(ValueError, match=f"Single-qubit duration for gate {gate} and qubit {qubit1} not available."): + device.calibration.get_single_qubit_gate_duration(gate, qubit1) + with pytest.raises( + ValueError, + match=f"Two-qubit fidelity for gate {gate} and qubits {qubit1} and {qubit2} not available.", + ): + device.calibration.get_two_qubit_gate_fidelity(gate, qubit1, qubit2) + with pytest.raises( + ValueError, + match=f"Two-qubit duration for gate {gate} and qubits {qubit1} and {qubit2} not available.", + ): + device.calibration.get_two_qubit_gate_duration(gate, qubit1, qubit2) + with pytest.raises(ValueError, match=f"Readout fidelity for qubit {qubit1} not available."): + device.calibration.get_readout_fidelity(qubit1) + with pytest.raises(ValueError, match=f"Readout duration for qubit {qubit1} not available."): + device.calibration.get_readout_duration(qubit1) + for gate in device.get_single_qubit_gates(): + assert gate in device.gateset.gates + device.calibration = None + for gate in device.get_two_qubit_gates(): + assert gate in device.gateset.gates + with pytest.raises(ValueError, match=f"T1 for qubit {qubit1} not available."): + device.calibration.get_t1(qubit1) + with pytest.raises(ValueError, match=f"T2 for qubit {qubit1} not available."): + device.calibration.get_t2(qubit1) -def test_provider() -> None: - """Test that all providers can be imported.""" - for provider in get_available_providers(): - assert provider.provider_name in ["ibm", "rigetti", "oqc", "ionq", "quantinuum", "iqm"] - with pytest.raises(NotFoundError, match="Provider 'test' not found among available providers."): - get_provider_by_name("test") +def test_get_device_calibration_path() -> None: + """Test if the correct error message is shown if the calibration file does not exist.""" + with pytest.raises(FileNotFoundError, match="Calibration file not found"): + get_device_calibration_path("wrong_path") diff --git a/tests/devices/test_ibm_device_support.py b/tests/devices/test_ibm_device_support.py index 0e04ed2f1..e735a72f8 100644 --- a/tests/devices/test_ibm_device_support.py +++ b/tests/devices/test_ibm_device_support.py @@ -2,67 +2,12 @@ from __future__ import annotations -import pytest -from qiskit_ibm_runtime.fake_provider import FakeMontrealV2 - -from mqt.bench.devices import IBMProvider - - -def test_ibm_provider_methods() -> None: - """Test the methods of the IBMProvider class.""" - assert IBMProvider.get_available_device_names() == ["ibm_washington", "ibm_montreal"] - assert IBMProvider.get_available_basis_gates() == [["id", "rz", "sx", "x", "cx", "measure", "barrier"]] - assert IBMProvider.get_native_gates() == ["id", "rz", "sx", "x", "cx", "measure", "barrier"] - assert IBMProvider.get_max_qubits() == 127 - with pytest.raises(ValueError, match="Device ibm_unknown not found."): - IBMProvider.get_device("ibm_unknown") - - -def test_import_v2_backend() -> None: - """Test importing a Qiskit `BackendV2` object.""" - backend = FakeMontrealV2() - device = IBMProvider.import_qiskit_backend(backend) - single_qubit_gates = device.get_single_qubit_gates() - two_qubit_gates = device.get_two_qubit_gates() - - assert device.name == backend.name - assert device.num_qubits == backend.num_qubits - assert device.coupling_map == backend.coupling_map.get_edges() - assert device.basis_gates == backend.operation_names - - assert all(gate in ["id", "rz", "sx", "x", "cx", "measure", "barrier"] for gate in single_qubit_gates) - assert all(gate == "cx" for gate in two_qubit_gates) - - for q in range(device.num_qubits): - assert 0 <= device.get_readout_fidelity(q) <= 1 - assert device.get_readout_duration(q) >= 0 - if device.calibration is not None: - assert device.calibration.get_t1(q) >= 0 - assert device.calibration.get_t2(q) >= 0 - - for gate in single_qubit_gates: - assert 0 <= device.get_single_qubit_gate_fidelity(gate, q) <= 1 - assert device.get_single_qubit_gate_duration(gate, q) >= 0 - if device.calibration is not None: - assert 0 <= device.calibration.compute_average_single_qubit_gate_fidelity(gate) <= 1 - assert device.calibration.compute_average_single_qubit_gate_duration(gate) >= 0 - - for q0, q1 in device.coupling_map: - for gate in two_qubit_gates: - assert 0 <= device.get_two_qubit_gate_fidelity(gate, q0, q1) <= 1 - assert device.get_two_qubit_gate_duration(gate, q0, q1) >= 0 - if device.calibration is not None: - assert 0 <= device.calibration.compute_average_two_qubit_gate_fidelity(gate) <= 1 - assert device.calibration.compute_average_two_qubit_gate_duration(gate) >= 0 - - if device.calibration is not None: - assert 0 <= device.calibration.compute_average_readout_fidelity() <= 1 - assert device.calibration.compute_average_readout_duration() >= 0 +from mqt.bench.devices import get_device_by_name def test_get_ibm_washington_device() -> None: """Test getting the IBM Washington device.""" - device = IBMProvider.get_device("ibm_washington") + device = get_device_by_name("ibm_washington") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() @@ -78,8 +23,7 @@ def test_get_ibm_washington_device() -> None: for gate in single_qubit_gates: assert 0 <= device.get_single_qubit_gate_fidelity(gate, q) <= 1 - with pytest.raises(ValueError, match="Single-qubit gate duration values not available."): - device.get_single_qubit_gate_duration(gate, q) + assert device.get_single_qubit_gate_duration(gate, q) >= 0 for q0, q1 in device.coupling_map: for gate in two_qubit_gates: @@ -89,7 +33,7 @@ def test_get_ibm_washington_device() -> None: def test_get_ibmq_montreal_device() -> None: """Test getting the IBM Montreal device.""" - device = IBMProvider.get_device("ibm_montreal") + device = get_device_by_name("ibm_montreal") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() @@ -105,8 +49,7 @@ def test_get_ibmq_montreal_device() -> None: for gate in single_qubit_gates: assert 0 <= device.get_single_qubit_gate_fidelity(gate, q) <= 1 - with pytest.raises(ValueError, match="Single-qubit gate duration values not available."): - device.get_single_qubit_gate_duration(gate, q) + assert device.get_single_qubit_gate_duration(gate, q) >= 0 for q0, q1 in device.coupling_map: for gate in two_qubit_gates: assert 0 <= device.get_two_qubit_gate_fidelity(gate, q0, q1) <= 1 diff --git a/tests/devices/test_ionq_device_support.py b/tests/devices/test_ionq_device_support.py index 3928c22a0..c98b5318a 100644 --- a/tests/devices/test_ionq_device_support.py +++ b/tests/devices/test_ionq_device_support.py @@ -2,20 +2,12 @@ from __future__ import annotations -from mqt.bench.devices import IonQProvider - - -def test_ionq_provider_methods() -> None: - """Test the methods of the IonQProvider class.""" - assert IonQProvider.get_available_device_names() == ["ionq_harmony", "ionq_aria1"] - assert IonQProvider.get_available_basis_gates() == [["rxx", "rz", "ry", "rx", "measure", "barrier"]] - assert IonQProvider.get_native_gates() == ["rxx", "rz", "ry", "rx", "measure", "barrier"] - assert IonQProvider.get_max_qubits() == 25 +from mqt.bench.devices import get_device_by_name def test_ionq_harmony_device() -> None: """Test the import of the IonQ Harmony quantum computer.""" - device = IonQProvider.get_device("ionq_harmony") + device = get_device_by_name("ionq_harmony") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() @@ -40,7 +32,7 @@ def test_ionq_harmony_device() -> None: def test_ionq_aria1_device() -> None: """Test the import of the IonQ Aria quantum computer.""" - device = IonQProvider.get_device("ionq_aria1") + device = get_device_by_name("ionq_aria1") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() diff --git a/tests/devices/test_iqm_device_support.py b/tests/devices/test_iqm_device_support.py index d978d6ea5..5242d5e91 100644 --- a/tests/devices/test_iqm_device_support.py +++ b/tests/devices/test_iqm_device_support.py @@ -2,30 +2,12 @@ from __future__ import annotations -import pytest - -from mqt.bench.devices import IQMProvider - - -def test_iqm_provider_methods() -> None: - """Test the methods of the IQMProvider class. - - - get_available_device_names - - get_available_basis_gates - - get_native_gates - - get_max_qubits. - """ - assert IQMProvider.get_available_device_names() == ["iqm_adonis", "iqm_apollo"] - assert IQMProvider.get_available_basis_gates() == [["r", "cz", "measure", "barrier"]] - assert IQMProvider.get_native_gates() == ["r", "cz", "measure", "barrier"] - assert IQMProvider.get_max_qubits() == 20 - with pytest.raises(ValueError, match="Device iqm_unknown not found."): - IQMProvider.get_device("iqm_unknown") +from mqt.bench.devices import get_device_by_name def test_get_iqm_apollo_device() -> None: """Test getting the IQM Apollo device.""" - device = IQMProvider.get_device("iqm_apollo") + device = get_device_by_name("iqm_apollo") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() @@ -64,7 +46,7 @@ def test_get_iqm_apollo_device() -> None: def test_get_iqm_adonis_device() -> None: """Test getting the IQM Adonis device.""" - device = IQMProvider.get_device("iqm_adonis") + device = get_device_by_name("iqm_adonis") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() diff --git a/tests/devices/test_oqc_device_support.py b/tests/devices/test_oqc_device_support.py index 1c244df0a..74a630751 100644 --- a/tests/devices/test_oqc_device_support.py +++ b/tests/devices/test_oqc_device_support.py @@ -4,20 +4,12 @@ import pytest -from mqt.bench.devices import OQCProvider - - -def test_oqc_provider_methods() -> None: - """Test the methods of the OQCrovider class.""" - assert OQCProvider.get_available_device_names() == ["oqc_lucy"] - assert OQCProvider.get_available_basis_gates() == [["rz", "sx", "x", "ecr", "measure", "barrier"]] - assert OQCProvider.get_native_gates() == ["rz", "sx", "x", "ecr", "measure", "barrier"] - assert OQCProvider.get_max_qubits() == 8 +from mqt.bench.devices import get_device_by_name def test_oqc_lucy_device() -> None: """Test the import of the OQC Lucy quantum computer.""" - device = OQCProvider.get_device("oqc_lucy") + device = get_device_by_name("oqc_lucy") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() diff --git a/tests/devices/test_quantinuum_device_support.py b/tests/devices/test_quantinuum_device_support.py index d14beebdc..3e107f7dc 100644 --- a/tests/devices/test_quantinuum_device_support.py +++ b/tests/devices/test_quantinuum_device_support.py @@ -4,20 +4,12 @@ import pytest -from mqt.bench.devices import QuantinuumProvider - - -def test_quantinuum_provider_methods() -> None: - """Test the methods of the QuantinuumProvider class.""" - assert QuantinuumProvider.get_available_device_names() == ["quantinuum_h2"] - assert QuantinuumProvider.get_available_basis_gates() == [["rzz", "rz", "ry", "rx", "measure", "barrier"]] - assert QuantinuumProvider.get_native_gates() == ["rzz", "rz", "ry", "rx", "measure", "barrier"] - assert QuantinuumProvider.get_max_qubits() == 32 +from mqt.bench.devices import get_device_by_name def test_quantinuum_h2_device() -> None: """Test the import of the Quantinuum H2 quantum computer.""" - device = QuantinuumProvider.get_device("quantinuum_h2") + device = get_device_by_name("quantinuum_h2") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() diff --git a/tests/devices/test_rigetti_device_support.py b/tests/devices/test_rigetti_device_support.py index 6764a8927..d50a22b1d 100644 --- a/tests/devices/test_rigetti_device_support.py +++ b/tests/devices/test_rigetti_device_support.py @@ -4,20 +4,12 @@ import pytest -from mqt.bench.devices import RigettiProvider - - -def test_rigetti_provider_methods() -> None: - """Test the methods of the RigettiProvider class.""" - assert RigettiProvider.get_available_device_names() == ["rigetti_aspen_m3"] - assert RigettiProvider.get_available_basis_gates() == [["rx", "rz", "cz", "cp", "xx_plus_yy", "measure", "barrier"]] - assert RigettiProvider.get_native_gates() == ["rx", "rz", "cz", "cp", "xx_plus_yy", "measure", "barrier"] - assert RigettiProvider.get_max_qubits() == 79 +from mqt.bench.devices import get_device_by_name def test_rigetti_aspen_m3_device() -> None: """Test the import of the Rigetti Aspen-M3 quantum computer.""" - device = RigettiProvider.get_device("rigetti_aspen_m3") + device = get_device_by_name("rigetti_aspen_m3") single_qubit_gates = device.get_single_qubit_gates() two_qubit_gates = device.get_two_qubit_gates() diff --git a/tests/test_bench.py b/tests/test_bench.py deleted file mode 100644 index 6a6243481..000000000 --- a/tests/test_bench.py +++ /dev/null @@ -1,1059 +0,0 @@ -"""Tests for the benchmark generation.""" - -from __future__ import annotations - -import sys -from pathlib import Path -from typing import TYPE_CHECKING - -import pytket - -if TYPE_CHECKING: # pragma: no cover - import types - -import pytest -from pytket.extensions.qiskit import tk_to_qiskit -from qiskit import QuantumCircuit - -from mqt.bench import utils -from mqt.bench.benchmark_generator import ( - BenchmarkGenerator, - CompilerSettings, - QiskitSettings, - TKETSettings, - get_benchmark, - qiskit_helper, - timeout_watcher, - tket_helper, -) -from mqt.bench.benchmarks import ( - ae, - dj, - ghz, - graphstate, - groundstate, - grover, - portfolioqaoa, - portfoliovqe, - pricingcall, - pricingput, - qaoa, - qft, - qftentangled, - qnn, - qpeexact, - qpeinexact, - qwalk, - random, - realamprandom, - routing, - shor, - su2random, - tsp, - twolocalrandom, - vqe, - wstate, -) -from mqt.bench.devices import IBMProvider, OQCProvider, get_available_providers, get_provider_by_name - - -@pytest.fixture -def output_path() -> str: - """Fixture to create the output path for the tests.""" - output_path = Path("./tests/test_output/") - output_path.mkdir(parents=True, exist_ok=True) - return str(output_path) - - -@pytest.fixture -def sample_filenames() -> list[str]: - """Fixture to return a list of sample filenames.""" - return [ - "ae_indep_qiskit_10.qasm", - "ghz_nativegates_rigetti_qiskit_opt3_54.qasm", - "ae_indep_tket_93.qasm", - "wstate_nativegates_rigetti_qiskit_opt0_79.qasm", - "ae_mapped_ibm_montreal_qiskit_opt1_9.qasm", - "ae_mapped_ibm_washington_qiskit_opt0_38.qasm", - "ae_mapped_oqc_lucy_qiskit_opt0_5.qasm", - "ae_mapped_ibm_washington_qiskit_opt2_88.qasm", - "qnn_mapped_ionq_harmony_qiskit_opt3_3.qasm", - "qnn_mapped_oqc_lucy_tket_line_2.qasm", - "qaoa_mapped_quantinuum_h2_tket_graph_2.qasm", - "dj_mapped_quantinuum_h2_qiskit_opt3_23.qasm", - ] - - -@pytest.mark.parametrize( - ("benchmark", "input_value", "scalable"), - [ - (ae, 3, True), - (ghz, 2, True), # the generated GHZ benchmarks are later used in test_benchviewer.py::test_streaming_zip - (dj, 3, True), - (graphstate, 3, True), - (grover, 3, False), - (qaoa, 3, True), - (qft, 3, True), - (qftentangled, 3, True), - (qnn, 3, True), - (qpeexact, 3, True), - (qpeinexact, 3, True), - (tsp, 3, False), - (qwalk, 3, False), - (vqe, 3, True), - (random, 3, True), - (realamprandom, 3, True), - (su2random, 3, True), - (twolocalrandom, 3, True), - (wstate, 3, True), - (portfolioqaoa, 3, True), - (shor, 3, False), - (portfoliovqe, 3, True), - (pricingcall, 3, False), - (pricingput, 3, False), - ], -) -def test_quantumcircuit_indep_level( - benchmark: types.ModuleType, input_value: int, scalable: bool, output_path: str -) -> None: - """Test the creation of the independent level benchmarks for the benchmarks.""" - if benchmark in (grover, qwalk): - qc = benchmark.create_circuit(input_value, ancillary_mode="noancilla") - else: - qc = benchmark.create_circuit(input_value) - - if scalable: - assert qc.num_qubits == input_value - assert benchmark.__name__.split(".")[-1] in qc.name - res = qiskit_helper.get_indep_level( - qc, - input_value, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = qiskit_helper.get_indep_level( - qc, - input_value, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - res = tket_helper.get_indep_level( - qc, - input_value, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = tket_helper.get_indep_level( - qc, - input_value, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - -@pytest.mark.parametrize( - ("benchmark", "input_value", "scalable"), - [ - (ae, 3, True), - (ghz, 3, True), - (dj, 3, True), - (graphstate, 3, True), - (grover, 3, False), - (qaoa, 3, True), - (qft, 3, True), - (qftentangled, 3, True), - (qnn, 3, True), - (qpeexact, 3, True), - (qpeinexact, 3, True), - (tsp, 3, False), - (qwalk, 3, False), - (vqe, 3, True), - (random, 3, True), - (realamprandom, 3, True), - (su2random, 3, True), - (twolocalrandom, 3, True), - (wstate, 3, True), - (portfolioqaoa, 3, True), - (portfoliovqe, 3, True), - (pricingcall, 3, False), - (pricingput, 3, False), - ], -) -def test_quantumcircuit_native_and_mapped_levels( - benchmark: types.ModuleType, input_value: int, scalable: bool, output_path: str -) -> None: - """Test the creation of the native and mapped level benchmarks for the benchmarks.""" - if benchmark in (grover, qwalk): - qc = benchmark.create_circuit(input_value, ancillary_mode="noancilla") - else: - qc = benchmark.create_circuit(input_value) - - assert isinstance(qc, QuantumCircuit) - if scalable: - assert qc.num_qubits == input_value - - providers = get_available_providers() - for provider in providers: - opt_level = 1 - res = qiskit_helper.get_native_gates_level( - qc, - provider, - qc.num_qubits, - opt_level, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = qiskit_helper.get_native_gates_level( - qc, - provider, - qc.num_qubits, - opt_level, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - provider.get_native_gates() - for device in provider.get_available_devices(): - # Creating the circuit on target-dependent: mapped level qiskit - if device.num_qubits >= qc.num_qubits: - res = qiskit_helper.get_mapped_level( - qc, - qc.num_qubits, - device, - opt_level, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = qiskit_helper.get_mapped_level( - qc, - qc.num_qubits, - device, - opt_level, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - for provider in providers: - res = tket_helper.get_native_gates_level( - qc, - provider, - qc.num_qubits, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = tket_helper.get_native_gates_level( - qc, - provider, - qc.num_qubits, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - for device in provider.get_available_devices(): - # Creating the circuit on target-dependent: mapped level qiskit - if device.num_qubits >= qc.num_qubits: - res = tket_helper.get_mapped_level( - qc, - qc.num_qubits, - device, - True, - file_precheck=False, - return_qc=False, - target_directory=output_path, - ) - assert res - res = tket_helper.get_mapped_level( - qc, - qc.num_qubits, - device, - False, - file_precheck=True, - return_qc=False, - target_directory=output_path, - ) - assert res - - -def test_openqasm_gates() -> None: - """Test the openqasm gates.""" - openqasm_gates = utils.get_openqasm_gates() - num_openqasm_gates = 42 - assert len(openqasm_gates) == num_openqasm_gates - - -def test_dj_constant_oracle() -> None: - """Test the creation of the DJ benchmark constant oracle.""" - qc = dj.create_circuit(5, False) - assert qc.depth() > 0 - - -def test_routing() -> None: - """Test the creation of the routing benchmark.""" - qc = routing.create_circuit(4, 2) - assert qc.depth() > 0 - - -def test_unidirectional_coupling_map() -> None: - """Test the unidirectional coupling map for the OQC Lucy device.""" - qc = get_benchmark( - benchmark_name="dj", - level="mapped", - circuit_size=3, - compiler="tket", - compiler_settings=CompilerSettings(tket=TKETSettings(placement="graphplacement")), - provider_name="oqc", - device_name="oqc_lucy", - ) - # check that all gates in the circuit are in the coupling map - cmap = utils.convert_cmap_to_tuple_list(OQCProvider.get_device("oqc_lucy").coupling_map) - assert qc.valid_connectivity(arch=pytket.architecture.Architecture(cmap), directed=True) - - -@pytest.mark.parametrize( - ( - "benchmark_name", - "level", - "circuit_size", - "benchmark_instance_name", - "compiler", - "compiler_settings", - "provider_name", - "device_name", - ), - [ - ( - "dj", - "alg", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "wstate", - 0, - 6, - None, - "tket", - None, - "", - "", - ), - ( - "ghz", - "indep", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "graphstate", - 1, - 4, - None, - "qiskit", - None, - "", - "", - ), - ( - "graphstate", - 1, - 4, - None, - "tket", - None, - "", - "", - ), - ( - "dj", - "nativegates", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "ionq", - "", - ), - ( - "dj", - "nativegates", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "ibm", - "", - ), - ( - "dj", - "nativegates", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "rigetti", - "rigetti_aspen_m3", - ), - ( - "dj", - "nativegates", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "oqc", - "oqc_lucy", - ), - ( - "qft", - 2, - 6, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=3)), - "ionq", - "ionq_harmony1", - ), - ( - "qft", - 2, - 6, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=3)), - "ibm", - "ibm_montreal", - ), - ("qft", 2, 6, None, "tket", None, "rigetti", "rigetti_aspen_m3"), - ( - "qft", - 2, - 6, - None, - "tket", - None, - "oqc", - "oqc_lucy", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ibm", - "ibm_washington", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ibm", - "ibm_montreal", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ionq", - "ionq_harmony", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ionq", - "ionq_aria1", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "ionq", - "ionq_aria1", - ), - ( - "qpeexact", - "mapped", - 5, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "oqc", - "oqc_lucy", - ), - ( - "qpeinexact", - 3, - 4, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ibm", - "ibm_washington", - ), - ( - "qpeinexact", - 3, - 4, - None, - "tket", - CompilerSettings(tket=TKETSettings(placement="lineplacement")), - "ibm", - "ibm_washington", - ), - ( - "qpeinexact", - 3, - 4, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "ibm", - "ibm_montreal", - ), - ( - "qpeinexact", - 3, - 4, - None, - "tket", - CompilerSettings(tket=TKETSettings(placement="graphplacement")), - "ibm", - "ibm_montreal", - ), - ( - "qpeinexact", - 3, - 4, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ), - ( - "qpeinexact", - 3, - 4, - None, - "tket", - CompilerSettings(tket=TKETSettings(placement="lineplacement")), - "rigetti", - "rigetti_aspen_m3", - ), - ( - "qpeinexact", - 3, - 4, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "oqc", - "oqc_lucy", - ), - ( - "qpeinexact", - 3, - 4, - None, - "tket", - CompilerSettings(tket=TKETSettings(placement="graphplacement")), - "oqc", - "oqc_lucy", - ), - ( - "qpeinexact", - 3, - 4, - None, - "tket", - CompilerSettings(tket=TKETSettings(placement="graphplacement")), - "quantinuum", - "quantinuum_h2", - ), - ( - "qpeinexact", - 3, - 4, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=2)), - "quantinuum", - "quantinuum_h2", - ), - ( - "grover-noancilla", - "alg", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "qwalk-noancilla", - "alg", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "grover-v-chain", - "alg", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "qwalk-v-chain", - "alg", - 5, - None, - "qiskit", - None, - "", - "", - ), - ( - "shor", - "alg", - None, - "xsmall", - "qiskit", - None, - "", - "", - ), - ], -) -def test_get_benchmark( - benchmark_name: str, - level: str | int, - circuit_size: int | None, - benchmark_instance_name: str | None, - compiler: str, - compiler_settings: CompilerSettings | None, - provider_name: str, - device_name: str, -) -> None: - """Test the creation of the benchmarks using the get_benchmark method.""" - qc = get_benchmark( - benchmark_name, - level, - circuit_size, - benchmark_instance_name, - compiler, - compiler_settings, - provider_name, - device_name, - ) - assert qc.depth() > 0 - if provider_name and "oqc" not in provider_name: - if compiler == "tket": - qc = tk_to_qiskit(qc, replace_implicit_swaps=False) - assert isinstance(qc, QuantumCircuit) - for qc_instruction in qc.data: - instruction = qc_instruction.operation - gate_type = instruction.name - provider = get_provider_by_name(provider_name) - assert gate_type in provider.get_native_gates() or gate_type == "barrier" - - -def test_get_benchmark_faulty_parameters() -> None: - """Test the get_benchmark method with faulty parameters.""" - match = "Selected benchmark is not supported. Valid benchmarks are" - with pytest.raises(ValueError, match=match): - get_benchmark("wrong_name", 2, 6) - match = "Selected level must be in" - with pytest.raises(ValueError, match=match): - get_benchmark( # type: ignore[call-overload] - "qpeexact", - 8, - "wrong_size", - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ) - match = "circuit_size must be None or int for this benchmark." - with pytest.raises(ValueError, match=match): - get_benchmark( - "dj", - 1, - -1, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ) - - match = "benchmark_instance_name must be defined for this benchmark." - with pytest.raises(ValueError, match=match): - get_benchmark( # type: ignore[call-overload] - "shor", - 1, - 3, - 2, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ) - - match = "Selected compiler must be in" - with pytest.raises(ValueError, match=match): - get_benchmark( - "qpeexact", - 1, - 3, - None, - "wrong_compiler", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "rigetti_aspen_m3", - ) - match = "compiler_settings must be of type CompilerSettings or None" - with pytest.raises(ValueError, match=match): - get_benchmark( # type: ignore[call-overload] - "qpeexact", - 1, - 3, - None, - "qiskit", - "wrong_compiler_settings", - "rigetti", - "rigetti_aspen_m3", - ) - match = "Selected provider_name must be in" - with pytest.raises(ValueError, match=match): - get_benchmark( - "qpeexact", - 2, - 3, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "wrong_gateset", - "rigetti_aspen_m3", - ) - match = "Selected device_name must be in" - with pytest.raises(ValueError, match=match): - get_benchmark( - "qpeexact", - 3, - 3, - None, - "qiskit", - CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), - "rigetti", - "wrong_device", - ) - - -def test_configure_end(output_path: str) -> None: - """Removes all temporarily created files while testing.""" - # delete all files in the test directory and the directory itself - for f in Path(output_path).iterdir(): - f.unlink() - Path(output_path).rmdir() - - -@pytest.mark.parametrize( - "abstraction_level", - [ - (1), - (2), - (3), - ], -) -def test_saving_qasm_to_alternative_location_with_alternative_filename( - abstraction_level: int, -) -> None: - """Test saving the qasm file to an alternative location with an alternative filename.""" - directory = "." - filename = "ae_test_qiskit" - qc = get_benchmark("ae", abstraction_level, 5) - assert qc - res = qiskit_helper.get_mapped_level( - qc, - qc.num_qubits, - IBMProvider.get_device("ibm_washington"), - 1, - False, - False, - directory, - filename, - ) - assert res - path = Path(directory) / Path(filename).with_suffix(".qasm") - assert path.is_file() - path.unlink() - - filename = "ae_test_tket" - qc = get_benchmark("ae", abstraction_level, 7) - assert qc - res = tket_helper.get_mapped_level( - qc, - qc.num_qubits, - IBMProvider.get_device("ibm_washington"), - False, - False, - False, - directory, - filename, - ) - assert res - path = Path(directory) / Path(filename).with_suffix(".qasm") - assert path.is_file() - path.unlink() - - -def test_oqc_benchmarks() -> None: - """Test the creation of benchmarks for the OQC devices.""" - qc = get_benchmark("ghz", 1, 5) - directory = "." - filename = "ghz_oqc" - path = Path(directory) / Path(filename).with_suffix(".qasm") - - tket_helper.get_native_gates_level( - qc, - OQCProvider(), - qc.num_qubits, - file_precheck=False, - return_qc=False, - target_directory=directory, - target_filename=filename, - ) - - assert QuantumCircuit.from_qasm_file(str(path)) - path.unlink() - - directory = "." - filename = "ghz_oqc2" - path = Path(directory) / Path(filename).with_suffix(".qasm") - tket_helper.get_mapped_level( - qc, - qc.num_qubits, - OQCProvider().get_device("oqc_lucy"), - lineplacement=False, - file_precheck=False, - return_qc=False, - target_directory=directory, - target_filename=filename, - ) - assert QuantumCircuit.from_qasm_file(str(path)) - path.unlink() - directory = "." - filename = "ghz_oqc3" - path = Path(directory) / Path(filename).with_suffix(".qasm") - qiskit_helper.get_native_gates_level( - qc, - OQCProvider(), - qc.num_qubits, - opt_level=1, - file_precheck=False, - return_qc=False, - target_directory=directory, - target_filename=filename, - ) - assert QuantumCircuit.from_qasm_file(str(path)) - path.unlink() - directory = "." - filename = "ghz_oqc4" - path = Path(directory) / Path(filename).with_suffix(".qasm") - qiskit_helper.get_mapped_level( - qc, - qc.num_qubits, - OQCProvider().get_device("oqc_lucy"), - opt_level=1, - file_precheck=False, - return_qc=False, - target_directory=directory, - target_filename=filename, - ) - - assert QuantumCircuit.from_qasm_file(str(path)) - path.unlink() - - -def test_calc_supermarq_features() -> None: - """Test the calculation of the supermarq features.""" - ghz_qc = get_benchmark("ghz", 1, 5) - ghz_features = utils.calc_supermarq_features(ghz_qc) - assert ghz_features.program_communication == 0.4 - assert ghz_features.entanglement_ratio == 0.8 - assert ghz_features.critical_depth == 1.0 - assert ghz_features.parallelism == 0.0 - - empty_qc = QuantumCircuit(2) - empty_features = utils.calc_supermarq_features(empty_qc) - assert empty_features.parallelism == 0.0 - assert empty_features.entanglement_ratio == 0.0 - assert empty_features.critical_depth == 0.0 - assert empty_features.program_communication == 0.0 - - dense_qc = QuantumCircuit(2) - dense_qc.h([0, 1]) - dense_features = utils.calc_supermarq_features(dense_qc) - assert dense_features.parallelism == 1.0 - assert dense_features.entanglement_ratio == 0.0 - assert dense_features.critical_depth == 0.0 - assert dense_features.program_communication == 0.0 - - regular_qc = get_benchmark("vqe", 1, 5) - regular_features = utils.calc_supermarq_features(regular_qc) - assert 0 < regular_features.parallelism < 1 - assert 0 < regular_features.entanglement_ratio < 1 - assert 0 < regular_features.critical_depth < 1 - assert 0 < regular_features.program_communication < 1 - assert 0 < regular_features.liveness < 1 - - -def test_benchmark_generator() -> None: - """Test the BenchmarkGenerator class.""" - generator = BenchmarkGenerator(qasm_output_path="test") - assert generator.qasm_output_path == "test" - assert generator.timeout > 0 - assert generator.cfg is not None - - -# This function is used to test the timeout watchers and needs two parameters since those values are logged when a timeout occurs. -def endless_loop(arg1: SampleObject, run_forever: bool) -> bool: # noqa: ARG001 - """Endless loop necessary for testing the timeout watcher.""" - while run_forever: - pass - return True - - -class SampleObject: - """Sample object for testing the timeout watcher.""" - - def __init__(self, name: str) -> None: - """Initialize the sample object.""" - self.name = name - - -def test_timeout_watchers() -> None: - """Test the timeout watcher.""" - timeout = 1 - if sys.platform == "win32": - with pytest.warns(RuntimeWarning, match="Timeout is not supported on Windows."): - timeout_watcher(endless_loop, timeout, [SampleObject("test"), False]) - else: - assert not timeout_watcher(endless_loop, timeout, [SampleObject("test"), True]) - assert timeout_watcher(endless_loop, timeout, [SampleObject("test"), False]) - - -def test_get_module_for_benchmark() -> None: - """Test the get_module_for_benchmark function.""" - for benchmark in utils.get_supported_benchmarks(): - assert utils.get_module_for_benchmark(benchmark.split("-")[0]) is not None - - -def test_benchmark_helper_shor() -> None: - """Testing the Shor benchmarks.""" - shor_instances = ["xsmall", "small", "medium", "large", "xlarge"] - for elem in shor_instances: - res_shor = shor.get_instance(elem) - assert res_shor - - -@pytest.mark.skipif( - sys.platform == "win32", - reason="PySCF is not available on Windows.", -) -def test_benchmark_groundstate_non_windows() -> None: - """Testing the Groundstate benchmarks.""" - groundstate_instances = ["small", "medium", "large"] - for elem in groundstate_instances: - res_groundstate = groundstate.get_molecule(elem) - assert res_groundstate - - qc = groundstate.create_circuit("small") - assert qc.depth() > 0 - - -@pytest.mark.skipif( - sys.platform != "win32", - reason="Windows-specific test.", -) -def test_benchmark_groundstate_windows() -> None: - """Testing the Groundstate benchmarks on Windows.""" - with pytest.raises(ImportError, match=r"PySCF is not installed"): - groundstate.create_circuit("small") - - -def test_tket_mapped_circuit_qubit_number() -> None: - """Test the number of qubits in the tket-mapped circuit.""" - qc = get_benchmark("ghz", 1, 5) - res = tket_helper.get_mapped_level( - qc, - qc.num_qubits, - IBMProvider().get_device("ibm_washington"), - True, - file_precheck=False, - return_qc=True, - ) - assert isinstance(res, pytket.Circuit) - assert res.n_qubits == 127 diff --git a/tests/test_benchmark_generation.py b/tests/test_benchmark_generation.py new file mode 100644 index 000000000..e9aa21b76 --- /dev/null +++ b/tests/test_benchmark_generation.py @@ -0,0 +1,437 @@ +"""Tests for the benchmark generation.""" + +from __future__ import annotations + +import re +import sys +from pathlib import Path +from typing import TYPE_CHECKING + +if TYPE_CHECKING: # pragma: no cover + import types + from collections.abc import Callable + + from qiskit import QuantumCircuit + +import pytest +from qiskit import QuantumCircuit +from qiskit.qasm2 import LEGACY_CUSTOM_INSTRUCTIONS +from qiskit.qasm2 import load as load_qasm2 +from qiskit.qasm3 import load as load_qasm3 + +from mqt.bench import utils +from mqt.bench.benchmark_generator import ( + BenchmarkGenerator, + qiskit_helper, + timeout_watcher, + tket_helper, +) +from mqt.bench.benchmarks import ( + ae, + bv, + dj, + ghz, + graphstate, + grover, + qaoa, + qft, + qftentangled, + qnn, + qpeexact, + qpeinexact, + qwalk, + randomcircuit, + shor, + vqerealamprandom, + vqesu2random, + vqetwolocalrandom, + wstate, +) +from mqt.bench.devices import ( + get_available_devices, + get_available_native_gatesets, +) + + +@pytest.fixture +def output_path() -> str: + """Fixture to create the output path for the tests.""" + output_path = Path("./tests/test_output/") + output_path.mkdir(parents=True, exist_ok=True) + return str(output_path) + + +@pytest.fixture +def quantum_circuit() -> str: + """Fixture to return a GHZ quantum circuit.""" + return ghz.create_circuit(3) + + +@pytest.mark.parametrize( + ("benchmark", "input_value", "scalable"), + [ + (ae, 3, True), + (bv, 3, True), + (ghz, 2, True), + (dj, 3, True), + (graphstate, 3, True), + (grover, 3, False), + (qaoa, 3, True), + (qft, 3, True), + (qftentangled, 3, True), + (qnn, 3, True), + (qpeexact, 3, True), + (qpeinexact, 3, True), + (qwalk, 3, False), + (randomcircuit, 3, True), + (vqerealamprandom, 3, True), + (vqesu2random, 3, True), + (vqetwolocalrandom, 3, True), + (wstate, 3, True), + (shor, 3, False), + ], +) +def test_quantumcircuit_alg_level( + benchmark: types.ModuleType, input_value: int, scalable: bool, output_path: str +) -> None: + """Test the creation of the algorithm level benchmarks for the benchmarks.""" + qc = benchmark.create_circuit(input_value) + if scalable: + assert qc.num_qubits == input_value + assert benchmark.__name__.split(".")[-1] in qc.name + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + res = qiskit_helper.get_alg_level(qc, input_value, False, False, output_path, filename) + assert res + assert load_qasm3(filepath) + + res = qiskit_helper.get_alg_level( + qc, + input_value, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + assert load_qasm3(filepath) + filepath.unlink() + + with pytest.raises( + ValueError, match="'qasm2' is not supported for the algorithm level, please use 'qasm3' instead." + ): + qiskit_helper.get_alg_level(qc, input_value, False, False, output_path, filename, qasm_format="qasm2") + + +@pytest.mark.parametrize( + ("benchmark", "input_value", "scalable"), + [ + (ae, 3, True), + (bv, 3, True), + (ghz, 2, True), + (dj, 3, True), + (graphstate, 3, True), + (grover, 3, False), + (qaoa, 3, True), + (qft, 3, True), + (qftentangled, 3, True), + (qnn, 3, True), + (qpeexact, 3, True), + (qpeinexact, 3, True), + (qwalk, 3, False), + (randomcircuit, 3, True), + (vqerealamprandom, 3, True), + (vqesu2random, 3, True), + (vqetwolocalrandom, 3, True), + (wstate, 3, True), + (shor, 3, False), + ], +) +def test_quantumcircuit_indep_level( + benchmark: types.ModuleType, input_value: int, scalable: bool, output_path: str +) -> None: + """Test the creation of the independent level benchmarks for the benchmarks.""" + qc = benchmark.create_circuit(input_value) + + if scalable: + assert qc.num_qubits == input_value + assert benchmark.__name__.split(".")[-1] in qc.name + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + evaluate_benchmark_with_qasm_formats( + qiskit_helper.get_indep_level, (qc, input_value, False, False, output_path, filename), output_path + ) + + res = qiskit_helper.get_indep_level( + qc, + input_value, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + + evaluate_benchmark_with_qasm_formats( + tket_helper.get_indep_level, (qc, input_value, False, False, output_path, filename), output_path + ) + + res = tket_helper.get_indep_level( + qc, + input_value, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + + +def test_native_gates_level_qiskit(quantum_circuit: QuantumCircuit, output_path: str) -> None: + """Test the native gates level for the Qiskit compiler.""" + native_gatesets = get_available_native_gatesets() + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + opt_level = 0 + for gateset in native_gatesets: + evaluate_benchmark_with_qasm_formats( + qiskit_helper.get_native_gates_level, + (quantum_circuit, gateset, quantum_circuit.num_qubits, 0, False, False, output_path, filename), + output_path, + ) + + res = qiskit_helper.get_native_gates_level( + quantum_circuit, + gateset, + quantum_circuit.num_qubits, + opt_level, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + + +def test_native_gates_level_tket(quantum_circuit: QuantumCircuit, output_path: str) -> None: + """Test the native gates level for the TKET compiler.""" + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + + for gateset in get_available_native_gatesets(): + if gateset.gateset_name != "clifford+t": + evaluate_benchmark_with_qasm_formats( + tket_helper.get_native_gates_level, + (quantum_circuit, gateset, quantum_circuit.num_qubits, False, False, output_path, filename), + output_path, + ) + + res = tket_helper.get_native_gates_level( + quantum_circuit, + gateset, + quantum_circuit.num_qubits, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + else: + with pytest.raises( + ValueError, match=r"The gateset 'clifford\+t' is not supported by TKET. Please use Qiskit instead." + ): + tket_helper.get_native_gates_level( + quantum_circuit, + gateset, + quantum_circuit.num_qubits, + file_precheck=False, + return_qc=False, + target_directory=output_path, + ) + + +def test_mapped_level_qiskit(quantum_circuit: QuantumCircuit, output_path: str) -> None: + """Test the mapped level for the Qiskit compiler.""" + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + for device in get_available_devices(): + if device.num_qubits >= quantum_circuit.num_qubits: + evaluate_benchmark_with_qasm_formats( + qiskit_helper.get_mapped_level, + (quantum_circuit, quantum_circuit.num_qubits, device, 0, False, False, output_path, filename), + output_path, + ) + + res = qiskit_helper.get_mapped_level( + quantum_circuit, + quantum_circuit.num_qubits, + device, + opt_level=0, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + + +def test_mapped_level_tket(quantum_circuit: QuantumCircuit, output_path: str) -> None: + """Test the mapped level for the TKET compiler.""" + filename = "testfile" + filepath = Path(output_path) / (filename + ".qasm") + for device in get_available_devices(): + if device.num_qubits >= quantum_circuit.num_qubits: + evaluate_benchmark_with_qasm_formats( + tket_helper.get_mapped_level, + (quantum_circuit, quantum_circuit.num_qubits, device, False, False, output_path, filename), + output_path, + ) + + res = tket_helper.get_mapped_level( + quantum_circuit, + quantum_circuit.num_qubits, + device, + file_precheck=True, + return_qc=False, + target_directory=output_path, + target_filename=filename, + qasm_format="qasm3", + ) + assert res + filepath.unlink() + + +def test_openqasm_gates() -> None: + """Test the openqasm gates.""" + openqasm_gates = utils.get_openqasm_gates() + num_openqasm_gates = 42 + assert len(openqasm_gates) == num_openqasm_gates + + +def test_dj_constant_oracle() -> None: + """Test the creation of the DJ benchmark constant oracle.""" + qc = dj.create_circuit(5, False) + assert qc.depth() > 0 + + +def test_configure_end(output_path: str) -> None: + """Removes all temporarily created files while testing.""" + # delete all files in the test directory and the directory itself + for f in Path(output_path).iterdir(): + f.unlink() + Path(output_path).rmdir() + + +def test_benchmark_generator() -> None: + """Test the BenchmarkGenerator class.""" + generator = BenchmarkGenerator(qasm_output_path="test") + assert generator.qasm_output_path == "test" + assert generator.timeout > 0 + assert generator.cfg is not None + + +# This function is used to test the timeout watchers and needs two parameters since those values are logged when a timeout occurs. +def endless_loop(arg1: SampleObject, run_forever: bool) -> bool: # noqa: ARG001 + """Endless loop necessary for testing the timeout watcher.""" + while run_forever: + pass + return True + + +class SampleObject: + """Sample object for testing the timeout watcher.""" + + def __init__(self, name: str) -> None: + """Initialize the sample object.""" + self.name = name + + +def test_timeout_watchers() -> None: + """Test the timeout watcher.""" + timeout = 1 + if sys.platform == "win32": + with pytest.warns(RuntimeWarning, match="Timeout is not supported on Windows."): + timeout_watcher(endless_loop, timeout, [SampleObject("test"), False]) + else: + assert not timeout_watcher(endless_loop, timeout, [SampleObject("test"), True]) + assert timeout_watcher(endless_loop, timeout, [SampleObject("test"), False]) + + +def test_get_module_for_benchmark() -> None: + """Test the get_module_for_benchmark function.""" + for benchmark in utils.get_supported_benchmarks(): + assert utils.get_module_for_benchmark(benchmark.split("-")[0]) is not None + + +def test_shor() -> None: + """Testing the Shor benchmarks.""" + shor_instances = ["xsmall", "small", "medium", "large", "xlarge"] + for elem in shor_instances: + res_shor = shor.get_instance(elem) + assert res_shor + + with pytest.raises(ValueError, match="The input needs to be an odd integer greater than 3."): + shor.Shor._validate_input(2, 2) # noqa: SLF001 + with pytest.raises(ValueError, match="a must have value >= 2, was 1"): + shor.Shor._validate_input(4, 1) # noqa: SLF001 + with pytest.raises(ValueError, match=re.escape("The integer a needs to satisfy a < N and gcd(a, N) = 1.")): + shor.Shor._validate_input(3, 6) # noqa: SLF001 + + +def evaluate_benchmark_with_qasm_formats( + fct: Callable, args: list[int | QuantumCircuit | str | bool], output_path: str +) -> None: + """Evaluate the benchmarks with different QASM formats.""" + for qasm_format in ["qasm2", "qasm3"]: + res = fct(*args, qasm_format=qasm_format) + assert res + filepath = Path(output_path) / "testfile.qasm" + if qasm_format == "qasm2": + assert load_qasm2(filepath, custom_instructions=LEGACY_CUSTOM_INSTRUCTIONS) + else: + assert load_qasm3(filepath) + + +def test_bv() -> None: + """Test the creation of the BV benchmark.""" + qc = bv.create_circuit(3) + assert qc.depth() > 0 + assert qc.num_qubits == 3 + assert "bv" in qc.name + + qc = bv.create_circuit(3, dynamic=True) + assert qc.depth() > 0 + assert qc.num_qubits == 3 + assert "bv" in qc.name + + with pytest.raises(ValueError, match="Length of hidden_string must be num_qubits - 1."): + bv.create_circuit(3, hidden_string="wrong") + + +def test_ae() -> None: + """Test the creation of the AE benchmark with wrong input.""" + with pytest.raises(ValueError, match=re.escape("Number of qubits must be at least 2 (1 evaluation + 1 target).")): + ae.create_circuit(1) + + +def test_get_default_qasm_output_path() -> None: + """Test the default QASM output path.""" + assert Path(utils.get_default_qasm_output_path()) + + +def test_save_as_qasm() -> None: + """Test the save_as_qasm function with wrong input.""" + qc = QuantumCircuit(0) + with pytest.raises(ValueError, match="Unknown qasm format: wrong_format"): + utils.save_as_qasm(qc=qc, filename="testfile", qasm_format="wrong_format") diff --git a/tests/test_cli.py b/tests/test_cli.py index f01f23a93..4c136bd15 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -43,16 +43,16 @@ "--algorithm", "ghz", "--num-qubits", "20", "--compiler", "qiskit", - "--native-gate-set", "ibm", + "--gateset", "ibm_falcon", "--device", None, - ], dumps(get_benchmark(level="nativegates", benchmark_name="ghz", circuit_size=20, compiler="qiskit", provider_name="ibm"))), + ], dumps(get_benchmark(level="nativegates", benchmark_name="ghz", circuit_size=20, compiler="qiskit", gateset="ibm_falcon"))), ([ "--level", "mapped", "--algorithm", "ghz", "--num-qubits", "20", "--compiler", "qiskit", "--qiskit-optimization-level", "2", - "--native-gate-set", "ibm", + "--gateset", "ibm_falcon", "--device", "ibm_montreal", ], dumps(get_benchmark( level="mapped", @@ -60,7 +60,7 @@ circuit_size=20, compiler="qiskit", compiler_settings=CompilerSettings(QiskitSettings(optimization_level=2)), - provider_name="ibm", + gateset="ibm_falcon", device_name="ibm_montreal", ))), ([ @@ -84,7 +84,7 @@ "--num-qubits", "20", "--compiler", "qiskit", "--qiskit-optimization-level", "2", - "--native-gate-set", None, + "--gateset", None, "--device", "ibm_montreal", ], dumps(get_benchmark( level="mapped", diff --git a/tests/test_get_benchmark.py b/tests/test_get_benchmark.py new file mode 100644 index 000000000..c6a76d3c0 --- /dev/null +++ b/tests/test_get_benchmark.py @@ -0,0 +1,333 @@ +"""Tests for the get_benchmark method.""" + +from __future__ import annotations + +from pathlib import Path + +import pytest +import pytket +from pytket.extensions.qiskit import tk_to_qiskit +from qiskit import QuantumCircuit + +from mqt.bench import get_benchmark, utils +from mqt.bench.benchmark_generator import ( + CompilerSettings, + QiskitSettings, + qiskit_helper, + tket_helper, +) +from mqt.bench.devices import ( + get_device_by_name, + get_native_gateset_by_name, +) + + +@pytest.mark.parametrize( + ( + "benchmark_name", + "level", + "circuit_size", + "benchmark_instance_name", + "compiler", + "compiler_settings", + "gateset_name", + "device_name", + ), + [ + # Algorithm-level tests + ("dj", "alg", 3, None, "qiskit", None, "", ""), + ("wstate", 0, 3, None, "tket", None, "", ""), + ("shor", "alg", None, "xsmall", "qiskit", None, "", ""), + ("grover-noancilla", "alg", 3, None, "qiskit", None, "", ""), + ("qwalk-v-chain", "alg", 3, None, "qiskit", None, "", ""), + # Independent level tests + ("ghz", "indep", 3, None, "qiskit", None, "", ""), + ("graphstate", 1, 3, None, "qiskit", None, "", ""), + ("graphstate", 1, 3, None, "tket", None, "", ""), + # Native gates level tests + ( + "dj", + "nativegates", + 3, + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=0)), + "ionq", + "", + ), + ("qft", 2, 3, None, "tket", None, "rigetti", "rigetti_aspen_m3"), + # Mapped level tests + ( + "ghz", + "mapped", + 3, + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=0)), + "", + "ibm_washington", + ), + ("ghz", 3, 3, None, "tket", None, "ibm_falcon", "ibm_montreal"), + ("ghz", 3, 3, None, "qiskit", CompilerSettings(qiskit=QiskitSettings(optimization_level=0)), "", "ionq_aria1"), + ], +) +def test_get_benchmark( + benchmark_name: str, + level: str | int, + circuit_size: int | None, + benchmark_instance_name: str | None, + compiler: str, + compiler_settings: CompilerSettings | None, + gateset_name: str, + device_name: str, +) -> None: + """Test the creation of the benchmarks using the get_benchmark method.""" + qc = get_benchmark( + benchmark_name, + level, + circuit_size, + benchmark_instance_name, + compiler, + compiler_settings, + gateset_name, + device_name, + ) + assert qc.depth() > 0 + if gateset_name: + if compiler == "tket": + qc = tk_to_qiskit(qc, replace_implicit_swaps=False) + assert isinstance(qc, QuantumCircuit) + for qc_instruction in qc.data: + instruction = qc_instruction.operation + gate_type = instruction.name + gateset = get_native_gateset_by_name(gateset_name) + assert gate_type in gateset.gates or gate_type == "barrier" + + +def test_get_benchmark_faulty_parameters() -> None: + """Test the get_benchmark method with faulty parameters.""" + match = "Selected benchmark is not supported. Valid benchmarks are" + with pytest.raises(ValueError, match=match): + get_benchmark("wrong_name", 2, 6) + match = "Selected level must be in" + with pytest.raises(ValueError, match=match): + get_benchmark( # type: ignore[call-overload] + "qpeexact", + 8, + "wrong_size", + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "rigetti", + "rigetti_aspen_m3", + ) + match = "circuit_size must be None or int for this benchmark." + with pytest.raises(ValueError, match=match): + get_benchmark( + "dj", + 1, + -1, + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "rigetti", + "rigetti_aspen_m3", + ) + + match = "benchmark_instance_name must be defined for this benchmark." + with pytest.raises(ValueError, match=match): + get_benchmark( # type: ignore[call-overload] + "shor", + 1, + 3, + 2, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "rigetti", + "rigetti_aspen_m3", + ) + + match = "Selected compiler must be in" + with pytest.raises(ValueError, match=match): + get_benchmark( + "qpeexact", + 1, + 3, + None, + "wrong_compiler", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "rigetti", + "rigetti_aspen_m3", + ) + match = "compiler_settings must be of type CompilerSettings or None" + with pytest.raises(ValueError, match=match): + get_benchmark( # type: ignore[call-overload] + "qpeexact", + 1, + 3, + None, + "qiskit", + "wrong_compiler_settings", + "rigetti", + "rigetti_aspen_m3", + ) + match = "Gateset wrong_gateset not found in available gatesets." + with pytest.raises(ValueError, match=match): + get_benchmark( + "qpeexact", + 2, + 3, + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "wrong_gateset", + "rigetti_aspen_m3", + ) + match = "Selected device_name must be in" + with pytest.raises(ValueError, match=match): + get_benchmark( + "qpeexact", + 3, + 3, + None, + "qiskit", + CompilerSettings(qiskit=QiskitSettings(optimization_level=1)), + "rigetti", + "wrong_device", + ) + + +def test_tket_mapped_circuit_qubit_number() -> None: + """Test the number of qubits in the tket-mapped circuit.""" + qc = get_benchmark("ghz", 1, 5) + res = tket_helper.get_mapped_level( + qc, + qc.num_qubits, + get_device_by_name("ibm_washington"), + file_precheck=False, + return_qc=True, + ) + assert isinstance(res, pytket.Circuit) + assert res.n_qubits == 127 + + +@pytest.mark.parametrize( + "abstraction_level", + [ + (1), + (2), + (3), + ], +) +def test_saving_qasm_to_alternative_location_with_alternative_filename( + abstraction_level: int, +) -> None: + """Test saving the qasm file to an alternative location with an alternative filename.""" + directory = "." + filename = "ae_test_qiskit" + qc = get_benchmark("ae", abstraction_level, 5) + assert qc + res = qiskit_helper.get_mapped_level( + qc, + qc.num_qubits, + get_device_by_name("ibm_washington"), + 1, + False, + False, + directory, + filename, + ) + assert res + path = Path(directory) / Path(filename).with_suffix(".qasm") + assert path.is_file() + # path.unlink() + + filename = "ae_test_tket" + qc = get_benchmark("ae", abstraction_level, 7) + assert qc + res = tket_helper.get_mapped_level( + qc, + qc.num_qubits, + get_device_by_name("ibm_washington"), + False, + False, + directory, + filename, + ) + assert res + path = Path(directory) / Path(filename).with_suffix(".qasm") + assert path.is_file() + path.unlink() + + +def test_unidirectional_coupling_map() -> None: + """Test the unidirectional coupling map for the OQC Lucy device.""" + qc = get_benchmark( + benchmark_name="dj", + level="mapped", + circuit_size=3, + compiler="tket", + gateset="oqc", + device_name="oqc_lucy", + ) + # check that all gates in the circuit are in the coupling map + cmap = [(c[0], c[1]) for c in get_device_by_name("oqc_lucy").coupling_map] + assert qc.valid_connectivity(arch=pytket.architecture.Architecture(cmap), directed=True) + + +def test_calc_supermarq_features() -> None: + """Test the calculation of the supermarq features.""" + ghz_qc = get_benchmark("ghz", 1, 5) + ghz_features = utils.calc_supermarq_features(ghz_qc) + assert ghz_features.program_communication == 0.4 + assert ghz_features.entanglement_ratio == 0.8 + assert ghz_features.critical_depth == 1.0 + assert ghz_features.parallelism == 0.0 + + empty_qc = QuantumCircuit(2) + empty_features = utils.calc_supermarq_features(empty_qc) + assert empty_features.parallelism == 0.0 + assert empty_features.entanglement_ratio == 0.0 + assert empty_features.critical_depth == 0.0 + assert empty_features.program_communication == 0.0 + + dense_qc = QuantumCircuit(2) + dense_qc.h([0, 1]) + dense_features = utils.calc_supermarq_features(dense_qc) + assert dense_features.parallelism == 1.0 + assert dense_features.entanglement_ratio == 0.0 + assert dense_features.critical_depth == 0.0 + assert dense_features.program_communication == 0.0 + + regular_qc = get_benchmark("qaoa", 1, 5) + regular_features = utils.calc_supermarq_features(regular_qc) + assert 0 < regular_features.parallelism < 1 + assert 0 < regular_features.entanglement_ratio < 1 + assert 0 < regular_features.critical_depth < 1 + assert 0 < regular_features.program_communication < 1 + assert 0 < regular_features.liveness < 1 + + +def test_clifford_t() -> None: + """Test the Clifford+T gateset.""" + qc = get_benchmark( + benchmark_name="qft", + level="nativegates", + circuit_size=4, + compiler="qiskit", + gateset="clifford+t", + ) + + for gate_type in qc.count_ops(): + assert gate_type in get_native_gateset_by_name("clifford+t").gates + + with pytest.raises( + ValueError, match=r"The gateset 'clifford\+t' is not supported by TKET. Please use Qiskit instead." + ): + get_benchmark( + benchmark_name="qft", + level="nativegates", + circuit_size=4, + compiler="tket", + gateset="clifford+t", + ) diff --git a/uv.lock b/uv.lock index 8245d70e1..84d10b340 100644 --- a/uv.lock +++ b/uv.lock @@ -24,6 +24,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 }, ] +[[package]] +name = "antlr4-python3-runtime" +version = "4.13.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/33/5f/2cdf6f7aca3b20d3f316e9f505292e1f256a32089bd702034c29ebde6242/antlr4_python3_runtime-4.13.2.tar.gz", hash = "sha256:909b647e1d2fc2b70180ac586df3933e38919c85f98ccc656a96cd3f25ef3916", size = 117467 } +wheels = [ + { url = 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