🔥Remove most of the qiskit application module benchmarks

pyproject.toml

@@ -26,8 +26,7 @@ dependencies = [
     # there is a bug in 1.2.0 that causes an error some benchmarks, see https://github.com/Qiskit/qiskit/issues/12969
     "qiskit!=1.2.0",
     "qiskit_optimization>=0.6",
-    "qiskit_nature[pyscf]>=0.7",
-    "qiskit_finance>=0.4.1",
+    "qiskit-algorithms>=0.3",
     "networkx>=2.8.8",
     "joblib>=1.3.0",
     "numpy>=1.26; python_version >= '3.12'",

src/mqt/bench/benchmark_generator.py

@@ -134,15 +134,6 @@ 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"],
@@ -353,7 +344,7 @@ 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 "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)
@@ -371,11 +362,11 @@ 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)
 
@@ -398,9 +389,6 @@ 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)
 

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",
-]

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 = round(np.arccos(np.sqrt(1 / 2**num_qubits)) / (2 * np.arcsin(np.sqrt(1 / 2**num_qubits))))
 
     num_qubits = operator.num_qubits - 1  # -1 because last qubit is "flag" qubit and already taken care of