From dba242e1824b44c322719752488bd01cef62aae5 Mon Sep 17 00:00:00 2001 From: antalszava Date: Mon, 8 Aug 2022 10:00:25 -0400 Subject: [PATCH 01/19] Update the Hermiticity check of `qml.Hermitian` to use `qml.math` (#2895) * fix * changelog * lint --- doc/releases/changelog-0.25.0.md | 5 +++++ pennylane/ops/qubit/observables.py | 8 +++++--- tests/devices/test_default_qubit_tf.py | 16 ++++++++++++++++ 3 files changed, 26 insertions(+), 3 deletions(-) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index 55f8a2935a2..1abec67bfc8 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -700,6 +700,11 @@ of operators.

Bug fixes ๐Ÿž

+* Reworked the Hermiticity check in `qml.Hermitian` by using `qml.math` calls + because calling `.conj()` on an `EagerTensor` from TensorFlow raised an + error. + [(#2895)](https://github.com/PennyLaneAI/pennylane/pull/2895) + * Updated IsingXY gate docstring. [(#2858)](https://github.com/PennyLaneAI/pennylane/pull/2858) diff --git a/pennylane/ops/qubit/observables.py b/pennylane/ops/qubit/observables.py index d8aa5d777ba..d9a189fd2ff 100644 --- a/pennylane/ops/qubit/observables.py +++ b/pennylane/ops/qubit/observables.py @@ -16,13 +16,15 @@ excepting the Pauli gates and Hadamard gate in ``non_parametric_ops.py``. """ -from scipy.sparse import csr_matrix +from copy import copy import numpy as np +from scipy.sparse import csr_matrix import pennylane as qml from pennylane.operation import AllWires, AnyWires, Observable from pennylane.wires import Wires + from .matrix_ops import QubitUnitary @@ -93,7 +95,7 @@ def compute_matrix(A): # pylint: disable=arguments-differ if A.shape[0] != A.shape[1]: raise ValueError("Observable must be a square matrix.") - if not qml.math.allclose(A, A.conj().T): + if not qml.math.allclose(A, qml.math.T(qml.math.conj(A))): raise ValueError("Observable must be Hermitian.") return A @@ -458,4 +460,4 @@ def compute_diagonalizing_gates( return [] def pow(self, z): - return [self.__copy__()] if (isinstance(z, int) and z > 0) else super().pow(z) + return [copy(self)] if (isinstance(z, int) and z > 0) else super().pow(z) diff --git a/tests/devices/test_default_qubit_tf.py b/tests/devices/test_default_qubit_tf.py index a74ebc799e2..b6cd60f49b6 100644 --- a/tests/devices/test_default_qubit_tf.py +++ b/tests/devices/test_default_qubit_tf.py @@ -2112,6 +2112,22 @@ def circuit(x, w=None): ): qml.qnode(dev, diff_method="backprop", interface=interface)(circuit) + def test_hermitian_backprop(self, tol): + """Test that backprop with qml.Hermitian works correctly""" + dev = qml.device("default.qubit.tf", wires=2) + + K = tf.linalg.diag([1, 2, 3, 4]) + + @qml.qnode(dev, interface="tf", diff_method="backprop") + def circuit(op): + qml.PauliX(0) + qml.PauliX(1) + return qml.expval(op) + + res = circuit(qml.Hermitian(K, wires=range(2))) + assert isinstance(res, tf.Tensor) + assert res == 4.0 + @pytest.mark.tf class TestSamples: From f0ba99e02de998bbb1f2b1522d3d3e0902dee95b Mon Sep 17 00:00:00 2001 From: David Wierichs Date: Mon, 8 Aug 2022 19:36:24 +0200 Subject: [PATCH 02/19] important typo fix (#2901) --- doc/releases/changelog-0.25.0.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index 1abec67bfc8..a53452975d6 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -624,7 +624,7 @@ of operators. 1. The custom device inherits from `DefaultQubit`, not `QubitDevice`. 2. The device implements custom methods in the simulation pipeline that are incompatible with broadcasting (for example `expval`, `apply_operation` or `analytic_probability`). - 3. The custom device maintains the flag `"supports_broadcasting": False` in its `capabilities` + 3. The custom device maintains the flag `"supports_broadcasting": True` in its `capabilities` dictionary *or* it overwrites `Device.batch_transform` without applying `broadcast_expand` (or both). From d5554201d24a589ce077c59267e845ddaa37fb62 Mon Sep 17 00:00:00 2001 From: antalszava Date: Mon, 8 Aug 2022 15:56:43 -0400 Subject: [PATCH 03/19] test lightning (#2903) --- .../test_new_return_types_qnode.py | 38 +++++++++---------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/tests/returntypes/test_new_return_types_qnode.py b/tests/returntypes/test_new_return_types_qnode.py index ac687f765c0..bf4e7a22208 100644 --- a/tests/returntypes/test_new_return_types_qnode.py +++ b/tests/returntypes/test_new_return_types_qnode.py @@ -20,7 +20,7 @@ import pennylane as qml wires = [2, 3, 4] -devices = ["default.qubit", "default.mixed"] +devices = ["default.qubit", "lightning.qubit", "default.mixed"] class TestIntegrationSingleReturn: @@ -36,7 +36,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.state() - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == (2**wires,) @@ -52,7 +52,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.state() - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == (2**wires, 2**wires) @@ -69,7 +69,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.density_matrix(wires=range(0, d_wires)) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == (2**d_wires, 2**d_wires) @@ -85,7 +85,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.expval(qml.PauliZ(wires=1)) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == () @@ -101,7 +101,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.var(qml.PauliZ(wires=1)) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == () @@ -117,7 +117,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.vn_entropy(wires=0) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == () @@ -133,7 +133,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.mutual_info(wires0=[0], wires1=[1]) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert res.shape == () @@ -158,7 +158,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.probs(op=op, wires=wires) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) if wires is None: @@ -246,7 +246,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.state() - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(tf.Variable(0.5)) assert res.shape == (2**wires, 2**wires) @@ -461,7 +461,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.state() - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(torch.tensor(0.5, requires_grad=True)) assert res.shape == (2**wires, 2**wires) @@ -675,7 +675,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.state() - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(jax.numpy.array(0.5)) assert res.shape == (2**wires, 2**wires) @@ -854,7 +854,7 @@ def circuit(x): wires = [([0], [1]), ([1], [0]), ([0], [0]), ([1], [1])] -devices = ["default.qubit", "default.mixed"] +devices = ["default.qubit", "lightning.qubit", "default.mixed"] class TestIntegrationMultipleReturns: @@ -872,7 +872,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.expval(qml.Projector([0], wires=0)), qml.expval(qml.PauliZ(wires=1)) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert isinstance(res, tuple) @@ -894,7 +894,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.var(qml.PauliZ(wires=0)), qml.var(qml.Hermitian([[1, 0], [0, 1]], wires=1)) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert isinstance(res, tuple) @@ -929,7 +929,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.probs(op=op1, wires=wires1), qml.probs(op=op2, wires=wires2) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert isinstance(res, tuple) @@ -964,7 +964,7 @@ def circuit(x): qml.expval(qml.PauliZ(wires=wires4)), ) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) if wires1 is None: @@ -1045,7 +1045,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return [qml.expval(qml.PauliZ(wires=0))] - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) assert isinstance(res, list) @@ -2354,7 +2354,7 @@ def circuit(x): qml.CRX(x, wires=[0, 1]) return qml.apply(meas1), qml.apply(meas2) - qnode = qml.QNode(circuit, dev) + qnode = qml.QNode(circuit, dev, diff_method=None) res = qnode(0.5) all_shots = sum([shot_tuple.copies for shot_tuple in dev.shot_vector]) From 2991a36984cca4596eca24165f8a7f87f8b7d765 Mon Sep 17 00:00:00 2001 From: Josh Izaac Date: Mon, 8 Aug 2022 19:01:10 -0400 Subject: [PATCH 04/19] Update the readme and PennyLane Logo (#2912) * Update PennyLane Logo * remove wordmark from readme * update citation * et al * Update the logo * replace with svg --- README.md | 12 +- doc/_static/building_blocks.png | Bin 757055 -> 0 bytes doc/_static/favicon.ico | Bin 4286 -> 15406 bytes doc/_static/header-dark-mode.png | Bin 218653 -> 322342 bytes doc/_static/header.png | Bin 196116 -> 257015 bytes doc/_static/intro.png | Bin 58598 -> 0 bytes doc/_static/jigsaw.png | Bin 290305 -> 294728 bytes doc/_static/logo.png | Bin 0 -> 26645 bytes doc/_static/numpy.jpeg | Bin 8951 -> 0 bytes doc/_static/pennylane.png | Bin 2037 -> 0 bytes doc/_static/pennylane.svg | 230 +++++++++---------------------- doc/_static/pennylane_big.png | Bin 7247 -> 0 bytes doc/_static/pennylane_thin.png | Bin 23216 -> 0 bytes doc/_static/pl_wordmark.png | Bin 1415 -> 3120 bytes doc/conf.py | 3 +- doc/index.rst | 8 +- 16 files changed, 70 insertions(+), 183 deletions(-) delete mode 100644 doc/_static/building_blocks.png delete mode 100644 doc/_static/intro.png create mode 100644 doc/_static/logo.png delete mode 100644 doc/_static/numpy.jpeg delete mode 100644 doc/_static/pennylane.png delete mode 100644 doc/_static/pennylane_big.png delete mode 100644 doc/_static/pennylane_thin.png mode change 100755 => 100644 doc/_static/pl_wordmark.png diff --git a/README.md b/README.md index 9002f371e07..7e284ed7c2e 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,3 @@ -

- - - -

-

@@ -147,10 +141,8 @@ PennyLane is the work of [many contributors](https://github.com/PennyLaneAI/penn If you are doing research using PennyLane, please cite [our paper](https://arxiv.org/abs/1811.04968): -> Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, M. Sohaib Alam, Shahnawaz Ahmed, -> Juan Miguel Arrazola, Carsten Blank, Alain Delgado, Soran Jahangiri, Keri McKiernan, Johannes Jakob Meyer, -> Zeyue Niu, Antal Szรกva, and Nathan Killoran. -> *PennyLane: Automatic differentiation of hybrid quantum-classical computations.* 2018. arXiv:1811.04968 +> Ville Bergholm et al. *PennyLane: Automatic differentiation of hybrid quantum-classical +> computations.* 2018. arXiv:1811.04968 ## License diff --git a/doc/_static/building_blocks.png b/doc/_static/building_blocks.png deleted file mode 100644 index 1274ff637ebcac69c636f8f628f3491479c3391c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 757055 zcmeEuhhGy})HXIi6u}il5kZt zx@kCCx_Lfzu^{sF^yIQ}fVi4Hb+X`cbg@cW7ojC0x(;bu zl;S|UVq(2n(gU+`yFW^IGty5zT~?|c3tx#~2gk#Cks2@YS@X)ALW!^Y*nW!R^u^HI@EHHzgM-aZxE~*k^3^zQ+)ypZf zK6F2HuZrQF9Q{Il7fi9wfk5`M9*i>eGIZpZkxw_~DV+9amUUZTekS2-p<7?kwIxvhk_*FV6T_}1%CEBk#hIe}S 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computations.* 2018. `arXiv:1811.04968 + `_ Support and contribution ------------------------ From e25d514132c0457fbff2e6ba724e1d16d8b98167 Mon Sep 17 00:00:00 2001 From: antalszava Date: Tue, 9 Aug 2022 10:26:48 -0400 Subject: [PATCH 05/19] Add warning to `qml.cond` docs about unsupported cases (#2883) * docs * docs --- pennylane/transforms/condition.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/pennylane/transforms/condition.py b/pennylane/transforms/condition.py index ad7cc4a6f25..8fb9f216937 100644 --- a/pennylane/transforms/condition.py +++ b/pennylane/transforms/condition.py @@ -112,6 +112,18 @@ def qnode(x, y): in ``qml.cond(m_0, qml.RY)``), then ``m_0 == 1`` is considered internally. + .. warning:: + + The following are not supported as the ``condition`` argument: + + * Expressions that contain multiple measurement values; + * Expressions with boolean logic flow using operators like ``and``, + ``or`` and ``not``. + + While such statements may not result in errors, they may result in + incorrect behaviour. + + .. details:: :title: Usage Details From d2fb335b20fbc8deaf8000b0a95494bc03544f3a Mon Sep 17 00:00:00 2001 From: Christina Lee Date: Tue, 9 Aug 2022 11:43:29 -0400 Subject: [PATCH 06/19] `qml.simplify` can reduce number of rotation parameters (#2905) * move rotation simplify into op method * add additional example Co-authored-by: Romain Moyard --- pennylane/__init__.py | 1 - pennylane/ops/functions/simplify.py | 17 ++- pennylane/ops/qubit/parametric_ops.py | 90 ++++++++++++++ pennylane/transforms/__init__.py | 2 - pennylane/transforms/commutation_dag.py | 152 +---------------------- tests/ops/qubit/test_parametric_ops.py | 125 +++++++++++++++++++ tests/transforms/test_commutation_dag.py | 137 +------------------- 7 files changed, 235 insertions(+), 289 deletions(-) diff --git a/pennylane/__init__.py b/pennylane/__init__.py index bc7a9967821..0c8375a4170 100644 --- a/pennylane/__init__.py +++ b/pennylane/__init__.py @@ -91,7 +91,6 @@ is_commuting, pattern_matching, pattern_matching_optimization, - simplify, ) from pennylane.ops.functions import * from pennylane.optimize import * diff --git a/pennylane/ops/functions/simplify.py b/pennylane/ops/functions/simplify.py index fcf854ded8e..45209b686ee 100644 --- a/pennylane/ops/functions/simplify.py +++ b/pennylane/ops/functions/simplify.py @@ -22,7 +22,8 @@ @qml.op_transform def simplify(op: Operator): - """Reduces the depth of nested operators. + """Simplifies the operator by reducing arithmetic depth or number of rotation + parameters. Args: @@ -47,6 +48,20 @@ def simplify(op: Operator): (Adjoint(RX)(0.54, wires=[0]), Adjoint(PauliX)(wires=[0]), Adjoint(PauliZ)(wires=[1])) + + This function also can simplify the number of rotation gate parameters: + + >>> qml.simplify(qml.Rot(np.pi / 2, 0.1, -np.pi / 2, wires=0)) + RX(0.1, wires=[0]) + + Both types of simplification occur together: + + >>> op = qml.adjoint(qml.U2(-np.pi/2, np.pi/2, wires=0) + qml.PauliX(0)) + >>> op + Adjoint(Sum)([-1.5707963267948966, 1.5707963267948966], [], wires=[0]) + >>> qml.simplify(op) + Adjoint(RX)(1.5707963267948966, wires=[0]) + Adjoint(PauliX)(wires=[0]) + """ if qml.queuing.QueuingContext.recording(): with qml.tape.stop_recording(): diff --git a/pennylane/ops/qubit/parametric_ops.py b/pennylane/ops/qubit/parametric_ops.py index 13ea34399eb..dcdb5fc5a67 100644 --- a/pennylane/ops/qubit/parametric_ops.py +++ b/pennylane/ops/qubit/parametric_ops.py @@ -822,6 +822,28 @@ def _controlled(self, wire): def single_qubit_rot_angles(self): return self.data + def simplify(self): + """Simplifies into single-rotation gates or a Hadamard if possible. + + >>> qml.Rot(np.pi / 2, 0.1, -np.pi / 2, wires=0).simplify() + RX(0.1, wires=[0]) + >>> qml.Rot(np.pi, np.pi/2, 0, 0).simplify() + Hadamard(wires=[0]) + + """ + p0, p1, p2 = np.mod(self.data, 2 * np.pi) + + if np.allclose(p0, np.pi / 2) and np.allclose(np.mod(self.data[2], -2 * np.pi), -np.pi / 2): + return qml.RX(self.data[1], wires=self.wires) + if np.allclose(p0, 0) and np.allclose(p2, 0): + return qml.RY(self.data[1], wires=self.wires) + if np.allclose(p1, 0): + return qml.RZ(self.data[0] + self.data[2], wires=self.wires) + if np.allclose(p0, np.pi) and np.allclose(p1, np.pi / 2) and np.allclose(p2, 0): + return qml.Hadamard(wires=self.wires) + + return self + class MultiRZ(Operation): r""" @@ -1963,6 +1985,33 @@ def adjoint(self): def control_wires(self): return Wires(self.wires[0]) + def simplify(self): + """Simplifies into single controlled rotations or a controlled-Hadamard if possible. + + >>> qml.CRot(np.pi / 2, 0.1, -np.pi / 2, wires=(0,1)).simplify() + CRX(0.1, wires=[0, 1]) + >>> qml.CRot(0, 0.2, 0, wires=(0,1)).simplify() + CRY(0.2, wires=[0, 1]) + + """ + target_wires = [w for w in self.wires if w not in self.control_wires] + wires = self.wires + params = self.parameters + + p0, p1, p2 = np.mod(params, 2 * np.pi) + + if np.allclose(p0, np.pi / 2) and np.allclose(np.mod(self.data[2], -2 * np.pi), -np.pi / 2): + return qml.CRX(self.data[1], wires=wires) + if np.allclose(p0, 0) and np.allclose(p2, 0): + return qml.CRY(self.data[1], wires=wires) + if np.allclose(p1, 0): + return qml.CRZ(self.data[0] + self.data[2], wires=wires) + if np.allclose(p0, np.pi) and np.allclose(p1, np.pi / 2) and np.allclose(p2, 0): + hadamard = qml.Hadamard + return qml.ctrl(hadamard, control=self.control_wires)(wires=target_wires) + + return self + class U1(Operation): r""" @@ -2199,6 +2248,21 @@ def adjoint(self): new_phi = qml.math.mod((np.pi - delta), (2 * np.pi)) return U2(new_phi, new_delta, wires=self.wires) + def simplify(self): + """Simplifies the gate into RX or RY gates if possible.""" + wires = self.wires + + if np.allclose(np.mod(self.data[1], 2 * np.pi), 0) and np.allclose( + np.mod(self.data[0] + self.data[1], 2 * np.pi), 0 + ): + return qml.RY(np.pi / 2, wires=wires) + if np.allclose(np.mod(self.data[1], np.pi / 2), 0) and np.allclose( + np.mod(self.data[0] + self.data[1], 2 * np.pi), 0 + ): + return qml.RX(self.data[1], wires=wires) + + return self + class U3(Operation): r""" @@ -2342,6 +2406,32 @@ def adjoint(self): new_phi = qml.math.mod((np.pi - delta), (2 * np.pi)) return U3(theta, new_phi, new_delta, wires=self.wires) + def simplify(self): + """Simplifies into :class:`~.RX`, :class:`~.RY`, or :class:`~.PhaseShift` gates + if possible. + + >>> qml.U3(0.1, 0, 0, wires=0).simplify() + RY(0.1, wires=[0]) + + """ + wires = self.wires + params = self.parameters + + p0, p1, p2 = np.mod(params, 2 * np.pi) + + if np.allclose(p0, 0) and not np.allclose(p1, 0) and np.allclose(p2, 0): + return qml.PhaseShift(self.data[1], wires=wires) + if ( + np.allclose(p2, np.pi / 2) + and np.allclose(np.mod(self.data[1] + self.data[2], 2 * np.pi), 0) + and not np.allclose(p0, 0) + ): + return qml.RX(self.data[0], wires=wires) + if not np.allclose(p0, 0) and np.allclose(p1, 0) and np.allclose(p2, 0): + return qml.RY(self.data[0], wires=wires) + + return self + class IsingXX(Operation): r""" diff --git a/pennylane/transforms/__init__.py b/pennylane/transforms/__init__.py index cce020c719d..ae0bcbf2418 100644 --- a/pennylane/transforms/__init__.py +++ b/pennylane/transforms/__init__.py @@ -82,7 +82,6 @@ ~transforms.zyz_decomposition ~transforms.two_qubit_decomposition ~transforms.set_decomposition - ~transforms.simplify ~transforms.pattern_matching There are also utility functions that take a circuit and return a DAG. @@ -221,7 +220,6 @@ is_commuting, CommutationDAG, CommutationDAGNode, - simplify, ) from .tape_expand import ( expand_invalid_trainable, diff --git a/pennylane/transforms/commutation_dag.py b/pennylane/transforms/commutation_dag.py index f146539aa8d..e97f0f57704 100644 --- a/pennylane/transforms/commutation_dag.py +++ b/pennylane/transforms/commutation_dag.py @@ -228,153 +228,6 @@ def intersection(wires1, wires2): return len(qml.wires.Wires.shared_wires([wires1, wires2])) != 0 -def simplify_rotation(rot): - r"""Simplify a general one qubit rotation into RX, RY and RZ rotation. - - Args: - rot (pennylane.Rot): One qubit rotation. - - Returns: - qml.operation: Simplified rotation if possible. - """ - wires = rot.wires - params = rot.parameters - - p0, p1, p2 = np.mod(params, 2 * np.pi) - - if np.allclose(p0, np.pi / 2) and np.allclose(np.mod(rot.data[2], -2 * np.pi), -np.pi / 2): - return qml.RX(rot.data[1], wires=wires) - if np.allclose(p0, 0) and np.allclose(p2, 0): - return qml.RY(rot.data[1], wires=wires) - if np.allclose(p1, 0): - return qml.RZ(rot.data[0] + rot.data[2], wires=wires) - if np.allclose(p0, np.pi) and np.allclose(p1, np.pi / 2) and np.allclose(p2, 0): - return qml.Hadamard(wires=rot.wires) - - return rot - - -def simplify_controlled_rotation(crot): - r"""Simplify a general one qubit controlled rotation into CRX, CRY, CRZ and - controlled-Hadamard. - - Args: - crot (pennylane.CRot): One qubit controlled rotation. - - Returns: - qml.operation: Simplified controlled rotation if possible. - """ - target_wires = [w for w in crot.wires if w not in crot.control_wires] - wires = crot.wires - params = crot.parameters - - p0, p1, p2 = np.mod(params, 2 * np.pi) - - if np.allclose(p0, np.pi / 2) and np.allclose(np.mod(crot.data[2], -2 * np.pi), -np.pi / 2): - return qml.CRX(crot.data[1], wires=wires) - if np.allclose(p0, 0) and np.allclose(p2, 0): - return qml.CRY(crot.data[1], wires=wires) - if np.allclose(p1, 0): - return qml.CRZ(crot.data[0] + crot.data[2], wires=wires) - if np.allclose(p0, np.pi) and np.allclose(p1, np.pi / 2) and np.allclose(p2, 0): - hadamard = qml.Hadamard - return qml.ctrl(hadamard, control=crot.control_wires)(wires=target_wires) - - return crot - - -def simplify_u2(u2): - r"""Simplify a u2 one qubit rotation into RX and RY rotations. - - Args: - u2 (pennylane.U2): U2 rotation. - - Returns: - qml.operation: Simplified rotation if possible. - """ - wires = u2.wires - - if np.allclose(np.mod(u2.data[1], 2 * np.pi), 0) and np.allclose( - np.mod(u2.data[0] + u2.data[1], 2 * np.pi), 0 - ): - return qml.RY(np.pi / 2, wires=wires) - if np.allclose(np.mod(u2.data[1], np.pi / 2), 0) and np.allclose( - np.mod(u2.data[0] + u2.data[1], 2 * np.pi), 0 - ): - return qml.RX(u2.data[1], wires=wires) - - return u2 - - -def simplify_u3(u3): - r"""Simplify a general U3 one qubit rotation into RX, RY and RZ rotation. - - Args: - u3 (pennylane.U3): One qubit U3 rotation. - - Returns: - qml.operation: Simplified rotation if possible. - """ - wires = u3.wires - params = u3.parameters - - p0, p1, p2 = np.mod(params, 2 * np.pi) - - if np.allclose(p0, 0) and not np.allclose(p1, 0) and np.allclose(p2, 0): - return qml.PhaseShift(u3.data[1], wires=wires) - if ( - np.allclose(p2, np.pi / 2) - and np.allclose(np.mod(u3.data[1] + u3.data[2], 2 * np.pi), 0) - and not np.allclose(p0, 0) - ): - return qml.RX(u3.data[0], wires=wires) - if not np.allclose(p0, 0) and np.allclose(p1, 0) and np.allclose(p2, 0): - return qml.RY(u3.data[0], wires=wires) - - return u3 - - -def simplify(operation): - r"""Simplify the (controlled) rotation operations :class:`~.Rot`, - :class:`~.U2`, :class:`~.U3`, and :class:`~.CRot` into one of - :class:`~.RX`, :class:`~.CRX`, :class:`~.RY`, :class:`~.CRY`, :class:`~.RZ`, - :class:`~.CZ`, :class:`~.Hadamard` and controlled-Hadamard where possible. - - Args: - operation (.Operation): Rotation or controlled rotation. - - Returns: - .Operation: An operation representing the simplified rotation, if possible. - Otherwise, the original operation is returned. - - **Example** - - You can simplify rotation with certain parameters, for example: - - >>> qml.simplify(qml.Rot(np.pi / 2, 0.1, -np.pi / 2, wires=0)) - qml.RX(0.1, wires=0) - - However, not every rotation can be simplified. The original operation - is returned if no simplification is possible. - - >>> qml.simplify(qml.Rot(0.1, 0.2, 0.3, wires=0)) - qml.Rot(0.1, 0.2, 0.3, wires=0) - """ - if operation.name not in ["Rot", "U2", "U3", "CRot"]: - raise qml.QuantumFunctionError(f"{operation.name} is not a Rot, U2, U3 or CRot.") - - if operation.name == "Rot": - return simplify_rotation(operation) - - if operation.name == "U2": - return simplify_u2(operation) - - if operation.name == "U3": - return simplify_u3(operation) - - return simplify_controlled_rotation(operation) - - def check_commutation_two_non_simplified_crot(operation1, operation2): r"""Check commutation for two CRot that were not simplified. @@ -626,10 +479,10 @@ def is_commuting(operation1, operation2): # Simplify the rotations if possible if operation1.name in ["U2", "U3", "Rot", "CRot"]: - operation1 = simplify(operation1) + operation1 = qml.simplify(operation1) if operation2.name in ["U2", "U3", "Rot", "CRot"]: - operation2 = simplify(operation2) + operation2 = qml.simplify(operation2) # Case 1 operations are disjoints if not intersection(operation1.wires, operation2.wires): @@ -1043,6 +896,7 @@ def size(self): """ return len(self._multi_graph) + # pylint: disable=no-member def draw(self, filename="dag.png"): # pragma: no cover """Draw the DAG object. diff --git a/tests/ops/qubit/test_parametric_ops.py b/tests/ops/qubit/test_parametric_ops.py index 36871e23341..898d4bcf45d 100644 --- a/tests/ops/qubit/test_parametric_ops.py +++ b/tests/ops/qubit/test_parametric_ops.py @@ -2856,6 +2856,131 @@ def test_multirz_eigvals(self, theta, tol): assert np.allclose(eigvals, expected) +class TestSimplify: + """Test rotation simplification methods.""" + + def test_simplify_rot(self): + """Simplify rot operations with different parameters.""" + + rot_x = qml.Rot(np.pi / 2, 0.1, -np.pi / 2, wires=0) + simplify_rot_x = rot_x.simplify() + + assert simplify_rot_x.name == "RX" + assert simplify_rot_x.data == [0.1] + assert np.allclose(simplify_rot_x.matrix(), rot_x.matrix()) + + rot_y = qml.Rot(0, 0.1, 0, wires=0) + simplify_rot_y = rot_y.simplify() + + assert simplify_rot_y.name == "RY" + assert simplify_rot_y.data == [0.1] + assert np.allclose(simplify_rot_y.matrix(), rot_y.matrix()) + + rot_z = qml.Rot(0.1, 0, 0.2, wires=0) + simplify_rot_z = rot_z.simplify() + + assert simplify_rot_z.name == "RZ" + assert np.allclose(simplify_rot_z.data, [0.3]) + assert np.allclose(simplify_rot_z.matrix(), rot_z.matrix()) + + rot_h = qml.Rot(np.pi, np.pi / 2, 0, wires=0) + simplify_rot_h = rot_h.simplify() + + assert simplify_rot_h.name == "Hadamard" + assert np.allclose(simplify_rot_h.matrix(), 1.0j * rot_h.matrix()) + + rot = qml.Rot(0.1, 0.2, 0.3, wires=0) + not_simplified_rot = rot.simplify() + + assert not_simplified_rot.name == "Rot" + assert np.allclose(not_simplified_rot.matrix(), rot.matrix()) + + def test_simplify_crot(self): + """Simplify CRot operations with different parameters.""" + + crot_x = qml.CRot(np.pi / 2, 0.1, -np.pi / 2, wires=[0, 1]) + simplify_crot_x = crot_x.simplify() + + assert simplify_crot_x.name == "CRX" + assert simplify_crot_x.data == [0.1] + assert np.allclose(simplify_crot_x.matrix(), crot_x.matrix()) + + crot_y = qml.CRot(0, 0.1, 0, wires=[0, 1]) + simplify_crot_y = crot_y.simplify() + + assert simplify_crot_y.name == "CRY" + assert simplify_crot_y.data == [0.1] + assert np.allclose(simplify_crot_y.matrix(), crot_y.matrix()) + + crot_z = qml.CRot(0.1, 0, 0.2, wires=[0, 1]) + simplify_crot_z = crot_z.simplify() + + assert simplify_crot_z.name == "CRZ" + assert np.allclose(simplify_crot_z.data, [0.3]) + assert np.allclose(simplify_crot_z.matrix(), crot_z.matrix()) + + crot = qml.CRot(0.1, 0.2, 0.3, wires=[0, 1]) + not_simplified_crot = crot.simplify() + + assert not_simplified_crot.name == "CRot" + assert np.allclose(not_simplified_crot.matrix(), crot.matrix()) + + def test_simplify_u2(self): + """Simplify u2 operations with different parameters.""" + + u2_x = qml.U2(-np.pi / 2, np.pi / 2, wires=0) + simplify_u2_x = u2_x.simplify() + + assert simplify_u2_x.name == "RX" + assert simplify_u2_x.data == [np.pi / 2] + assert np.allclose(simplify_u2_x.matrix(), u2_x.matrix()) + + u2_y = qml.U2(-2 * np.pi, 2 * np.pi, wires=0) + simplify_u2_y = u2_y.simplify() + + assert simplify_u2_y.name == "RY" + assert simplify_u2_y.data == [np.pi / 2] + assert np.allclose(simplify_u2_y.matrix(), u2_y.matrix()) + + u2 = qml.U2(0.1, 0.2, wires=0) + u2_not_simplified = u2.simplify() + + assert u2_not_simplified.name == "U2" + assert u2_not_simplified.data == [0.1, 0.2] + assert np.allclose(u2_not_simplified.matrix(), u2.matrix()) + + def test_simplify_u3(self): + """Simplify u3 operations with different parameters.""" + + u3_x = qml.U3(0.1, -np.pi / 2, np.pi / 2, wires=0) + simplify_u3_x = u3_x.simplify() + + assert simplify_u3_x.name == "RX" + assert simplify_u3_x.data == [0.1] + assert np.allclose(simplify_u3_x.matrix(), u3_x.matrix()) + + u3_y = qml.U3(0.1, 0.0, 0.0, wires=0) + simplify_u3_y = u3_y.simplify() + + assert simplify_u3_y.name == "RY" + assert simplify_u3_y.data == [0.1] + assert np.allclose(simplify_u3_y.matrix(), u3_y.matrix()) + + u3_z = qml.U3(0.0, 0.1, 0.0, wires=0) + simplify_u3_z = u3_z.simplify() + + assert simplify_u3_z.name == "PhaseShift" + assert simplify_u3_z.data == [0.1] + assert np.allclose(simplify_u3_z.matrix(), u3_z.matrix()) + + u3 = qml.U3(0.1, 0.2, 0.3, wires=0) + u3_not_simplified = u3.simplify() + + assert u3_not_simplified.name == "U3" + assert u3_not_simplified.data == [0.1, 0.2, 0.3] + assert np.allclose(u3_not_simplified.matrix(), u3.matrix()) + + label_data = [ ( qml.Rot(1.23456, 2.3456, 3.45678, wires=0), diff --git a/tests/transforms/test_commutation_dag.py b/tests/transforms/test_commutation_dag.py index 5796210c317..62420049d5e 100644 --- a/tests/transforms/test_commutation_dag.py +++ b/tests/transforms/test_commutation_dag.py @@ -12,148 +12,13 @@ # See the License for the specific language governing permissions and # limitations under the License. """ -Unit tests for :mod:`pennylane.operation`. +Unit tests for CommutationDAG """ import pytest from collections import OrderedDict from pennylane.wires import Wires import pennylane.numpy as np import pennylane as qml -from pennylane.transforms.commutation_dag import simplify - - -class TestSimplifyRotation: - """Commutation function tests.""" - - def test_simplify_rot(self): - """Simplify rot operations with different parameters.""" - - rot_x = qml.Rot(np.pi / 2, 0.1, -np.pi / 2, wires=0) - simplify_rot_x = simplify(rot_x) - - assert simplify_rot_x.name == "RX" - assert simplify_rot_x.data == [0.1] - assert np.allclose(simplify_rot_x.matrix(), rot_x.matrix()) - - rot_y = qml.Rot(0, 0.1, 0, wires=0) - simplify_rot_y = simplify(rot_y) - - assert simplify_rot_y.name == "RY" - assert simplify_rot_y.data == [0.1] - assert np.allclose(simplify_rot_y.matrix(), rot_y.matrix()) - - rot_z = qml.Rot(0.1, 0, 0.2, wires=0) - simplify_rot_z = simplify(rot_z) - - assert simplify_rot_z.name == "RZ" - assert np.allclose(simplify_rot_z.data, [0.3]) - assert np.allclose(simplify_rot_z.matrix(), rot_z.matrix()) - - rot_h = qml.Rot(np.pi, np.pi / 2, 0, wires=0) - simplify_rot_h = simplify(rot_h) - - assert simplify_rot_h.name == "Hadamard" - assert np.allclose(simplify_rot_h.matrix(), 1.0j * rot_h.matrix()) - - rot = qml.Rot(0.1, 0.2, 0.3, wires=0) - not_simplified_rot = simplify(rot) - - assert not_simplified_rot.name == "Rot" - assert np.allclose(not_simplified_rot.matrix(), rot.matrix()) - - def test_simplify_crot(self): - """Simplify CRot operations with different parameters.""" - - crot_x = qml.CRot(np.pi / 2, 0.1, -np.pi / 2, wires=[0, 1]) - simplify_crot_x = simplify(crot_x) - - assert simplify_crot_x.name == "CRX" - assert simplify_crot_x.data == [0.1] - assert np.allclose(simplify_crot_x.matrix(), crot_x.matrix()) - - crot_y = qml.CRot(0, 0.1, 0, wires=[0, 1]) - simplify_crot_y = simplify(crot_y) - - assert simplify_crot_y.name == "CRY" - assert simplify_crot_y.data == [0.1] - assert np.allclose(simplify_crot_y.matrix(), crot_y.matrix()) - - crot_z = qml.CRot(0.1, 0, 0.2, wires=[0, 1]) - simplify_crot_z = simplify(crot_z) - - assert simplify_crot_z.name == "CRZ" - assert np.allclose(simplify_crot_z.data, [0.3]) - assert np.allclose(simplify_crot_z.matrix(), crot_z.matrix()) - - crot = qml.CRot(0.1, 0.2, 0.3, wires=[0, 1]) - not_simplified_crot = simplify(crot) - - assert not_simplified_crot.name == "CRot" - assert np.allclose(not_simplified_crot.matrix(), crot.matrix()) - - def test_simplify_u2(self): - """Simplify u2 operations with different parameters.""" - - u2_x = qml.U2(-np.pi / 2, np.pi / 2, wires=0) - simplify_u2_x = simplify(u2_x) - - assert simplify_u2_x.name == "RX" - assert simplify_u2_x.data == [np.pi / 2] - assert np.allclose(simplify_u2_x.matrix(), u2_x.matrix()) - - u2_y = qml.U2(-2 * np.pi, 2 * np.pi, wires=0) - simplify_u2_y = simplify(u2_y) - - assert simplify_u2_y.name == "RY" - assert simplify_u2_y.data == [np.pi / 2] - assert np.allclose(simplify_u2_y.matrix(), u2_y.matrix()) - - u2 = qml.U2(0.1, 0.2, wires=0) - u2_not_simplified = simplify(u2) - - assert u2_not_simplified.name == "U2" - assert u2_not_simplified.data == [0.1, 0.2] - assert np.allclose(u2_not_simplified.matrix(), u2.matrix()) - - def test_simplify_u3(self): - """Simplify u3 operations with different parameters.""" - - u3_x = qml.U3(0.1, -np.pi / 2, np.pi / 2, wires=0) - simplify_u3_x = simplify(u3_x) - - assert simplify_u3_x.name == "RX" - assert simplify_u3_x.data == [0.1] - assert np.allclose(simplify_u3_x.matrix(), u3_x.matrix()) - - u3_y = qml.U3(0.1, 0.0, 0.0, wires=0) - simplify_u3_y = simplify(u3_y) - - assert simplify_u3_y.name == "RY" - assert simplify_u3_y.data == [0.1] - assert np.allclose(simplify_u3_y.matrix(), u3_y.matrix()) - - u3_z = qml.U3(0.0, 0.1, 0.0, wires=0) - simplify_u3_z = simplify(u3_z) - - assert simplify_u3_z.name == "PhaseShift" - assert simplify_u3_z.data == [0.1] - assert np.allclose(simplify_u3_z.matrix(), u3_z.matrix()) - - u3 = qml.U3(0.1, 0.2, 0.3, wires=0) - u3_not_simplified = simplify(u3) - - assert u3_not_simplified.name == "U3" - assert u3_not_simplified.data == [0.1, 0.2, 0.3] - assert np.allclose(u3_not_simplified.matrix(), u3.matrix()) - - def test_simplify_not_rotations(self): - """Test that the simplify function returns a warning when giving a non rotation operation as argument.""" - id = qml.Identity(wires=0) - - with pytest.raises( - qml.QuantumFunctionError, match="Identity is not a Rot, U2, U3 or CRot." - ): - simplify(id) class TestCommutingFunction: From 49842b3cc4e6c1a6c57069a4592f65ed06b274a4 Mon Sep 17 00:00:00 2001 From: antalszava Date: Tue, 9 Aug 2022 13:39:58 -0400 Subject: [PATCH 07/19] seed and flaky (#2917) --- tests/optimize/test_optimize_shot_adapative.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/optimize/test_optimize_shot_adapative.py b/tests/optimize/test_optimize_shot_adapative.py index e7ad2349c77..74791a82cb0 100644 --- a/tests/optimize/test_optimize_shot_adapative.py +++ b/tests/optimize/test_optimize_shot_adapative.py @@ -14,6 +14,7 @@ """Tests for the shot adaptive optimizer""" import pytest from scipy.stats import multinomial +from flaky import flaky import pennylane as qml from pennylane import numpy as np @@ -593,9 +594,11 @@ def circuit(x): assert np.allclose(res, -1, atol=tol, rtol=0) + @flaky(max_runs=3) def test_expval_cost(self, tol): """Test that the cost is correctly returned when using a QNode as the cost function""" + np.random.seed(0) dev = qml.device("default.qubit", wires=1, shots=10) def ansatz(x, **kwargs): From c2a7a9bc31bc1fa08280afedc96e08f3196e01dd Mon Sep 17 00:00:00 2001 From: Isaac De Vlugt <34751083+isaacdevlugt@users.noreply.github.com> Date: Tue, 9 Aug 2022 15:52:06 -0400 Subject: [PATCH 08/19] Fixes a bug where kUpCCGSD wasn't working with the parameter-shift rule (#2913) * First commit * Added PR link * More accurate description in changelog * Test PS rule against backprop * Fixed error with test Co-authored-by: Josh Izaac --- doc/releases/changelog-0.25.0.md | 3 +++ pennylane/templates/subroutines/kupccgsd.py | 1 + .../test_subroutines/test_kupccgsd.py | 19 +++++++++++++++++++ 3 files changed, 23 insertions(+) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index a53452975d6..48567a27b32 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -700,6 +700,9 @@ of operators.

Bug fixes ๐Ÿž

+* Fixed a bug where the parameter-shift rule wasn't defined for `qml.kUpCCGSD`. + [(#2913)](https://github.com/PennyLaneAI/pennylane/pull/2913) + * Reworked the Hermiticity check in `qml.Hermitian` by using `qml.math` calls because calling `.conj()` on an `EagerTensor` from TensorFlow raised an error. diff --git a/pennylane/templates/subroutines/kupccgsd.py b/pennylane/templates/subroutines/kupccgsd.py index 6e9a52a0286..d638be06767 100644 --- a/pennylane/templates/subroutines/kupccgsd.py +++ b/pennylane/templates/subroutines/kupccgsd.py @@ -202,6 +202,7 @@ def ansatz(weights): """ num_wires = AnyWires + grad_method = None def __init__(self, weights, wires, k=1, delta_sz=0, init_state=None, do_queue=True, id=None): diff --git a/tests/templates/test_subroutines/test_kupccgsd.py b/tests/templates/test_subroutines/test_kupccgsd.py index 3b6f37c6d4a..5bca2323e8c 100644 --- a/tests/templates/test_subroutines/test_kupccgsd.py +++ b/tests/templates/test_subroutines/test_kupccgsd.py @@ -624,3 +624,22 @@ def test_torch(self, tol): grads2 = [weights.grad] assert np.allclose(grads[0], grads2[0], atol=tol, rtol=0) + + +class TestGradient: + """Test that the parameter-shift rule for this template matches that of backprop.""" + + def test_ps_rule_gradient(self, tol): + """Test parameter-shift rule gradient.""" + + dev = qml.device("default.qubit", wires=4) + + backprop_grad = qml.grad(qml.QNode(circuit_template, dev, diff_method="backprop")) + ps_rule_grad = qml.grad(qml.QNode(circuit_template, dev, diff_method="parameter-shift")) + + weights = qml.numpy.array([0.55, 0.72, 0.6, 0.54, 0.42, 0.65], requires_grad=True).reshape( + 1, -1 + ) + res = backprop_grad(weights) + res2 = ps_rule_grad(weights) + assert qml.math.allclose(res, res2, atol=tol, rtol=0) From a0e01c20f9740723615ad39f2a9139fa3e7751b9 Mon Sep 17 00:00:00 2001 From: Christina Lee Date: Tue, 9 Aug 2022 16:48:21 -0400 Subject: [PATCH 09/19] Add module documentation for `ops` (#2730) * Update phase decomp test (#2697) * Update interfaces.rst (#2698) * Allow templates to be decomposed (#2704) * Allow templates to be decomposed * Add TODO to clean * Update changelog * Fix pylint error Co-authored-by: Edward Jiang * Deprecate `qml.ExpvalCost` (#2571) * Add UserWarning to ExpvalCost and catch said warning in all tests containing ExpvalCost * added warning in doc string * added to the changelog in 0.23.1 * Update pennylane/vqe/vqe.py Co-authored-by: Josh Izaac * Update pennylane/vqe/vqe.py Co-authored-by: Josh Izaac * Update pennylane/vqe/vqe.py Co-authored-by: Josh Izaac * Update pennylane/vqe/vqe.py Co-authored-by: Josh Izaac * Update tests/optimize/test_qng.py Co-authored-by: Josh Izaac * Update tests/qchem/of_tests/test_convert.py Co-authored-by: Josh Izaac * Update tests/test_qaoa.py Co-authored-by: Josh Izaac * Update tests/test_vqe.py Co-authored-by: Josh Izaac * Update tests/transforms/test_adjoint_metric_tensor.py Co-authored-by: Josh Izaac * Update tests/optimize/test_optimize_shot_adapative.py Co-authored-by: Josh Izaac * overlooked to catch the new warning in test_dipole_of * switched to the right changelog Co-authored-by: Qottmann Co-authored-by: Josh Izaac Co-authored-by: Romain Moyard * Update JAX jit forward mode forward evaluation (#2700) * update logic * update logic * test case * test assertion Co-authored-by: Romain Moyard * Improve ising gates documentation (#2711) * Update doc * Update * Update pennylane/ops/qubit/parametric_ops.py Co-authored-by: antalszava * Apply suggestions from code review * CHange * Typo Co-authored-by: antalszava * Support classical fisher gradients when using Autograd (#2688) * Support classical fisher gradients when using Autograd * Update doc/releases/changelog-dev.md * added test for jax and autograd * black * added xfail tests * added comment in doc string about torch and tf not diffable Co-authored-by: Qottmann Co-authored-by: Romain Moyard * Support classical Fisher gradients when using TF and torch (#2710) * Support classical fisher gradients when using Autograd * Update doc/releases/changelog-dev.md * added test for jax and autograd * black * added xfail tests * added comment in doc string about torch and tf not diffable * Fix differentiability for tensorflow and torch * Remove warning * Fix TF not iterable error * Trigger CI * added example in doc-string about diffability * close-block becomes code-block lol * Update pennylane/qinfo/transforms.py Co-authored-by: Josh Izaac * Change pytest mark Co-authored-by: Josh Izaac Co-authored-by: Qottmann Co-authored-by: Romain Moyard * Remove `hardware` argument in `qml.qinfo.quantum_fisher` (#2695) * removed hardware argument, adapted doc string * updated tests * black * Update pennylane/qinfo/transforms.py Co-authored-by: Josh Izaac * Update pennylane/qinfo/transforms.py Co-authored-by: Josh Izaac * add default.qubit condition and change doc string Co-authored-by: Josh Izaac Co-authored-by: Romain Moyard * Add `qinfo` measurements in supported configurations docs (#2712) * Add documentation for new qinfo measurements * Add docs for finite diff * Fix JAX tests * Change param shift to red * Move entropy param shift tests Co-authored-by: Romain Moyard * Use access_state (#2719) Co-authored-by: Romain Moyard * Update docs v0.24 (#2724) * private func has no indices arg * update the circuit name in the example * reduced_dm doc update * correct Hamiltonian creation for classical Fisher * Delete exactly one space from reduced_dm docstring to correct rendering * Update outputting quantum_fisher example * Move summary to start (#2727) * add ops module section * only include functions and op_math * added weights initialization example (#2735) * Wires not updated for a hamiltonian with in-place addition (#2738) * fixed hamiltonian wire bug * changelog * try other way * Cleanup docs (#2736) * Documentation changes for `batch_partial` (#2737) * Update docs * Add double backticks * Add other backtick :xd: Co-authored-by: Christina Lee * Fix sphinx class/method links (#2729) Co-authored-by: Jay Soni * trying something else * Fix rendering of matrix rep of ECR (#2741) * fix rendering of matrix rep of ECR * lint * trigger ci Co-authored-by: Romain Moyard * Fix doc quantum information and ising (#2732) * Ising doc * Move entropy test * Math doc * Measurement doc * qinfo doc * Update pennylane/qinfo/transforms.py Co-authored-by: Edward Jiang <34989448+eddddddy@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Edward Jiang <34989448+eddddddy@users.noreply.github.com> * Update pennylane/math/quantum.py * Update * Fix kwargs for fidelity (#2740) * update * Typo * Update pennylane/qinfo/transforms.py Co-authored-by: Christina Lee Co-authored-by: Christina Lee * Reduced dm * Apply suggestions from code review Co-authored-by: Edward Jiang <34989448+eddddddy@users.noreply.github.com> * remove reduce dm Co-authored-by: Edward Jiang <34989448+eddddddy@users.noreply.github.com> Co-authored-by: Christina Lee * hope * Add quantum info measurements to introduction doc page (#2734) * add quantum info measurements to introduction page * minor doc fixes * more minor fixes * revert kwargs change * Apply suggestions from code review Co-authored-by: Romain Moyard * maybe this time * probably not going to work but worth a try * Apply suggestions from code review Co-authored-by: Jay Soni * update with master * updates * merge something * update docstring * line length problem * fix controlled signature * fix s_prod * add control class notes * update docs for Sprod and Sum * typo * small fix * fixing docs * added pragma no-cover to signature property * Apply suggestions from code review * clean up * fix sprod demo * add info to quick start operations guide * typo * added example * re-link top level imports to prevent duplication of docstring pages generated by sphinx * typo * change constructor imports to toplevel * Apply suggestions from code review * add equal to ops.functions docstring * Update doc/introduction/operations.rst Co-authored-by: antalszava * Update pennylane/ops/op_math/controlled_class.py Co-authored-by: antalszava * Update pennylane/ops/op_math/sum.py Co-authored-by: antalszava * lint Co-authored-by: antalszava Co-authored-by: Edward Jiang <34989448+eddddddy@users.noreply.github.com> Co-authored-by: Edward Jiang Co-authored-by: Korbinian Kottmann <43949391+Qottmann@users.noreply.github.com> Co-authored-by: Qottmann Co-authored-by: Josh Izaac Co-authored-by: Romain Moyard Co-authored-by: Qottmann Co-authored-by: Jay Soni Co-authored-by: David Ittah --- doc/code/qml_ops_op_math.rst | 4 +++ doc/index.rst | 1 + doc/introduction/operations.rst | 30 ++++++++++++++--- pennylane/ops/functions/__init__.py | 11 +++++++ pennylane/ops/op_math/__init__.py | 28 ++++++++++++++++ pennylane/ops/op_math/control.py | 9 ++++++ pennylane/ops/op_math/controlled_class.py | 29 +++++++++++++++++ pennylane/ops/op_math/prod.py | 2 +- pennylane/ops/op_math/sprod.py | 34 +++++++++++++++++--- pennylane/ops/op_math/sum.py | 39 +++++++++++++++++++---- 10 files changed, 169 insertions(+), 18 deletions(-) create mode 100644 doc/code/qml_ops_op_math.rst diff --git a/doc/code/qml_ops_op_math.rst b/doc/code/qml_ops_op_math.rst new file mode 100644 index 00000000000..0b872a5e06c --- /dev/null +++ b/doc/code/qml_ops_op_math.rst @@ -0,0 +1,4 @@ +qml.ops.op_math +=============== + +.. automodule:: pennylane.ops.op_math \ No newline at end of file diff --git a/doc/index.rst b/doc/index.rst index b3d1ea4c862..ce09ddff0cd 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -181,6 +181,7 @@ PennyLane is **free** and **open source**, released under the Apache License, Ve code/qml_grouping code/qml_kernels code/qml_math + code/qml_ops_op_math code/qml_qinfo code/qml_numpy code/qml_qaoa diff --git a/doc/introduction/operations.rst b/doc/introduction/operations.rst index 64920d5ed1d..5d99c85ca98 100644 --- a/doc/introduction/operations.rst +++ b/doc/introduction/operations.rst @@ -42,25 +42,45 @@ Operator functions ------------------ Various functions and transforms are available for manipulating operators, -and extracting information. +and extracting information. These can be broken down into two main categories: + +Operator to Operator functions +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. autosummary:: ~pennylane.adjoint ~pennylane.ctrl ~pennylane.cond + ~pennylane.op_sum + ~pennylane.prod + ~pennylane.s_prod + ~pennylane.generator + +These operator functions act on operators to produce new operators. + +>>> op = qml.prod(qml.PauliX(0), qml.PauliZ(1)) +>>> op = qml.op_sum(qml.Hadamard(0), op) +>>> op = qml.s_prod(1.2, op) +1.2*(Hadamard(wires=[0]) + PauliX(wires=[0]) @ PauliZ(wires=[1])) + +Operator to Other functions +^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +.. autosummary:: + ~pennylane.matrix ~pennylane.eigvals - ~pennylane.generator -All operator functions can be used on instantiated operators, +These operator functions act on operators and return other data types. +All operator functions can be used on instantiated operators. >>> op = qml.RX(0.54, wires=0) >>> qml.matrix(op) [[0.9637709+0.j 0. -0.26673144j] [0. -0.26673144j 0.9637709+0.j ]] -Operator functions can also be used in a functional form: +Some operator functions can also be used in a functional form: >>> x = torch.tensor(0.6, requires_grad=True) >>> matrix_fn = qml.matrix(qml.RX) @@ -75,7 +95,7 @@ In the functional form, they are usually differentiable with respect to gate arg >>> x.grad tensor(-0.5910) -Some operator transform can also act on multiple operators, by passing +Some operator transforms can also act on multiple operators, by passing quantum functions, QNodes or tapes: >>> def circuit(theta): diff --git a/pennylane/ops/functions/__init__.py b/pennylane/ops/functions/__init__.py index 346525a64ba..0860d2ffe45 100644 --- a/pennylane/ops/functions/__init__.py +++ b/pennylane/ops/functions/__init__.py @@ -13,6 +13,17 @@ # limitations under the License. """ This module contains functions that act on operators and tapes. + +.. currentmodule:: pennylane + +.. autosummary:: + :toctree: api + + ~eigvals + ~generator + ~matrix + ~equal + """ from .eigvals import eigvals from .equal import equal diff --git a/pennylane/ops/op_math/__init__.py b/pennylane/ops/op_math/__init__.py index 38572d3a757..950b60e13a2 100644 --- a/pennylane/ops/op_math/__init__.py +++ b/pennylane/ops/op_math/__init__.py @@ -14,10 +14,38 @@ """ This module contains classes and functions for Operator arithmetic. +Constructor Functions +~~~~~~~~~~~~~~~~~~~~~ + +.. currentmodule:: pennylane + +.. autosummary:: + :toctree: api + + ~adjoint + ~ctrl + ~op_sum + ~prod + ~s_prod + +Symbolic Classes +~~~~~~~~~~~~~~~~ + .. currentmodule:: pennylane.ops.op_math + .. autosummary:: :toctree: api + ~Adjoint + ~ControlledOperation + ~Controlled + ~ControlledOp + ~Pow + ~Prod + ~Sum + ~SProd + ~SymbolicOp + """ from .adjoint_class import Adjoint diff --git a/pennylane/ops/op_math/control.py b/pennylane/ops/op_math/control.py index 83351f6a315..2b3cec3dee4 100644 --- a/pennylane/ops/op_math/control.py +++ b/pennylane/ops/op_math/control.py @@ -83,6 +83,13 @@ class ControlledOperation(Operation): control_wires: A wire or set of wires. control_values: An int or list of ints indicating the values each control wire should take. + + .. note:: + Currently, the :func:`~.ctrl` tranform uses this class ``ControlledOperation``. This class + wraps an entire :class:`pennylane.tape.QuantumTape`, and it is rarely supported for native device + execution. See :class:`pennylane.ops.op_math.Controlled` for a more versatile controlled operation + that wraps a single target ``Operator``. + """ grad_method = None @@ -197,6 +204,8 @@ def ctrl(fn, control, control_values=None): function: A new function that applies the controlled equivalent of ``fn``. The returned function takes the same input arguments as ``fn``. + .. seealso:: :class:`~.ControlledOperation`. + **Example** .. code-block:: python3 diff --git a/pennylane/ops/op_math/controlled_class.py b/pennylane/ops/op_math/controlled_class.py index 34586dd5bbf..e1723c8eaf0 100644 --- a/pennylane/ops/op_math/controlled_class.py +++ b/pennylane/ops/op_math/controlled_class.py @@ -17,6 +17,8 @@ import warnings +from inspect import signature + import numpy as np from scipy import sparse @@ -41,6 +43,17 @@ class Controlled(SymbolicOp): length as ``control_wires``. Defaults to ``True`` for all control wires. work_wires (Any): Any auxiliary wires that can be used in the decomposition + .. note:: + This class, ``Controlled``, denotes a controlled version of any individual operation. + :class:`~.ControlledOp` adds :class:`~.Operation` specific methods and properties to the + more general ``Controlled`` class. + + The :class:`~.ControlledOperation` currently constructed by the :func:`~.ctrl` transform wraps + an entire tape and does not provide as many representations and attributes as ``Controlled``, + but :class:`~.ControlledOperation` does decompose. + + .. seealso:: :class:`~.ControlledOp` and ::class:`~.ControlledOperation` + **Example** >>> base = qml.RX(1.234, 1) @@ -99,6 +112,20 @@ class Controlled(SymbolicOp): """ + # pylint: disable=no-self-argument + @operation.classproperty + def __signature__(cls): # pragma: no cover + # this method is defined so inspect.signature returns __init__ signature + # instead of __new__ signature + # See PEP 362 + + # use __init__ signature instead of __new__ signature + sig = signature(cls.__init__) + # get rid of self from signature + new_parameters = tuple(sig.parameters.values())[1:] + new_sig = sig.replace(parameters=new_parameters) + return new_sig + # pylint: disable=unused-argument def __new__(cls, base, *_, **__): """If base is an ``Operation``, then the a ``ControlledOp`` should be used instead.""" @@ -332,6 +359,8 @@ class ControlledOp(Controlled, operation.Operation): When we no longer rely on certain functionality through ``Operation``, we can get rid of this class. + + .. seealso:: :class:`~.Controlled` """ def __new__(cls, *_, **__): diff --git a/pennylane/ops/op_math/prod.py b/pennylane/ops/op_math/prod.py index c30277fa4c7..5a9d21f917a 100644 --- a/pennylane/ops/op_math/prod.py +++ b/pennylane/ops/op_math/prod.py @@ -87,7 +87,7 @@ class Prod(Operator): .. note:: When a Prod operator is applied in a circuit, its factors are applied in the reverse order. - (i.e ``Prod(op1, op2)`` corresponds to :math:`\hat{op}_{1} \dot \hat{op}_{2}` which indicates + (i.e ``Prod(op1, op2)`` corresponds to :math:`\hat{op}_{1}\dot\hat{op}_{2}` which indicates first applying :math:`\hat{op}_{2}` then :math:`\hat{op}_{1}` in the circuit. We can see this in the decomposition of the operator. diff --git a/pennylane/ops/op_math/sprod.py b/pennylane/ops/op_math/sprod.py index 1a98bddfcd4..27bf586bdc1 100644 --- a/pennylane/ops/op_math/sprod.py +++ b/pennylane/ops/op_math/sprod.py @@ -24,21 +24,20 @@ def s_prod(scalar, operator, do_queue=True, id=None): r"""Construct an operator which is the scalar product of the - given scalar and operator provided. + given scalar and operator provided. Args: scalar (float or complex): the scale factor being multiplied to the operator. operator (~.operation.Operator): the operator which will get scaled. Keyword Args: - do_queue (bool): determines if the scalar product operator will be queued - (currently not supported). Default is True. + do_queue (bool): determines if the scalar product operator will be queued. Default is True. id (str or None): id for the scalar product operator. Default is None. Returns: - ~ops.op_math.SProd: the operator representing the scalar product. + ~ops.op_math.SProd: The operator representing the scalar product. - ..seealso:: :class:`~.ops.op_math.SProd` + .. seealso:: :class:`~.ops.op_math.SProd` and :class:`~.ops.op_math.SymbolicOp` **Example** @@ -65,6 +64,11 @@ class SProd(SymbolicOp): (currently not supported). Default is True. id (str or None): id for the scalar product operator. Default is None. + .. note:: + Currently this operator can not be queued in a circuit as an operation, only measured terminally. + + .. seealso:: :func:`~.ops.op_math.s_prod` + **Example** >>> sprod_op = SProd(1.23, qml.PauliX(0)) @@ -75,6 +79,26 @@ class SProd(SymbolicOp): [1.23, 0. ]]) >>> sprod_op.terms() ([1.23], [PauliX(wires=[0]]) + + .. details:: + :title: Usage Details + + The SProd operation can also be measured inside a qnode as an observable. + If the circuit is parameterized, then we can also differentiate through the observable. + + .. code-block:: python + + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev, grad_method="best") + def circuit(scalar, theta): + qml.RX(theta, wires=0) + return qml.expval(qml.s_prod(scalar, qml.Hadamard(wires=0))) + + >>> scalar, theta = (1.2, 3.4) + >>> qml.grad(circuit, argnum=[0,1])(scalar, theta) + (array(-0.68362956), array(0.21683382)) + """ _name = "SProd" diff --git a/pennylane/ops/op_math/sum.py b/pennylane/ops/op_math/sum.py index 6d1fc41d478..91c46d48284 100644 --- a/pennylane/ops/op_math/sum.py +++ b/pennylane/ops/op_math/sum.py @@ -29,17 +29,17 @@ def op_sum(*summands, do_queue=True, id=None): r"""Construct an operator which is the sum of the given operators. Args: - *summands (tuple[~.operation.Operator]): the operators we want to sum together. + summands (tuple[~.operation.Operator]): the operators we want to sum together. Keyword Args: do_queue (bool): determines if the sum operator will be queued (currently not supported). Default is True. - id (str or None): id for the sum operator. Default is None. + id (str or None): id for the Sum operator. Default is None. Returns: - ~ops.op_math.Sum: the operator representing the sum of summands. + ~ops.op_math.Sum: The operator representing the sum of summands. - ..seealso:: :class:`~.ops.op_math.Sum` + .. seealso:: :class:`~.ops.op_math.Sum` **Example** @@ -57,7 +57,7 @@ def _sum(mats_gen, dtype=None, cast_like=None): r"""Private method to compute the sum of matrices. Args: - mats_gen (Generator): a python generator which produces the matricies which + mats_gen (Generator): a python generator which produces the matrices which will be summed together. Keyword Args: @@ -85,10 +85,14 @@ class Sum(Operator): summands (tuple[~.operation.Operator]): a tuple of operators which will be summed together. Keyword Args: - do_queue (bool): determines if the sum operator will be queued (currently not supported). - Default is True. + do_queue (bool): determines if the sum operator will be queued. Default is True. id (str or None): id for the sum operator. Default is None. + .. note:: + Currently this operator can not be queued in a circuit as an operation, only measured terminally. + + .. seealso:: :func:`~.ops.op_math.op_sum` + **Example** >>> summed_op = Sum(qml.PauliX(0), qml.PauliZ(0)) @@ -116,6 +120,27 @@ class Sum(Operator): 1.81677345+0.57695852j, 0. +0.j ], [0. +0.j , 0. +0.j , 0. +0.j , 1.81677345+0.57695852j]]) + + The Sum operation can also be measured inside a qnode as an observable. + If the circuit is parameterized, then we can also differentiate through the + sum observable. + + .. code-block:: python + + sum_op = Sum(qml.PauliX(0), qml.PauliZ(1)) + dev = qml.device("default.qubit", wires=2) + + @qml.qnode(dev, grad_method="best") + def circuit(weights): + qml.RX(weights[0], wires=0) + qml.RY(weights[1], wires=1) + qml.CNOT(wires=[0, 1]) + qml.RX(weights[2], wires=1) + return qml.expval(sum_op) + + >>> weights = qnp.array([0.1, 0.2, 0.3], requires_grad=True) + >>> qml.grad(circuit)(weights) + tensor([-0.09347337, -0.18884787, -0.28818254], requires_grad=True) """ _eigs = {} # cache eigen vectors and values like in qml.Hermitian From 4b8869e615017a260ca6325be5f298ea45b3e00d Mon Sep 17 00:00:00 2001 From: Christina Lee Date: Wed, 10 Aug 2022 09:54:42 -0400 Subject: [PATCH 10/19] Fix check batching bug (#2900) * check batching only if batching supported * Update doc/releases/changelog-0.25.0.md * just change op arithmetic properties * just raise errors * Update pennylane/operation.py * modify has_matrix and matrix * remove test * Update tests/ops/op_math/test_controlled_op.py * Update tests/ops/op_math/test_sprod.py Co-authored-by: David Wierichs * prod tests, controlled name * more interface tests Co-authored-by: David Wierichs --- doc/releases/changelog-0.25.0.md | 4 ++ pennylane/ops/op_math/adjoint_class.py | 13 ++++-- pennylane/ops/op_math/controlled_class.py | 16 +++++-- pennylane/ops/op_math/pow_class.py | 8 ++++ pennylane/ops/op_math/prod.py | 2 +- pennylane/ops/op_math/sum.py | 10 ----- pennylane/ops/op_math/symbolicop.py | 8 ---- tests/ops/op_math/test_adjoint_op.py | 31 +++++++------ tests/ops/op_math/test_controlled_op.py | 49 ++++++++++---------- tests/ops/op_math/test_pow_op.py | 18 +++++++- tests/ops/op_math/test_prod.py | 37 +++++++++++++--- tests/ops/op_math/test_sprod.py | 54 +++++++++++++++++++++++ tests/ops/op_math/test_sum.py | 7 +-- tests/ops/op_math/test_symbolic_op.py | 16 ------- 14 files changed, 178 insertions(+), 95 deletions(-) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index 48567a27b32..c410560893c 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -700,6 +700,10 @@ of operators.

Bug fixes ๐Ÿž

+* Cleans up interactions between operator arithmetic and batching by + testing supported cases and adding errors when batching is not supported. + [(#2900)](https://github.com/PennyLaneAI/pennylane/pull/2900) + * Fixed a bug where the parameter-shift rule wasn't defined for `qml.kUpCCGSD`. [(#2913)](https://github.com/PennyLaneAI/pennylane/pull/2913) diff --git a/pennylane/ops/op_math/adjoint_class.py b/pennylane/ops/op_math/adjoint_class.py index 3fb2d228749..6f72a9c23aa 100644 --- a/pennylane/ops/op_math/adjoint_class.py +++ b/pennylane/ops/op_math/adjoint_class.py @@ -206,10 +206,15 @@ def __init__(self, base=None, do_queue=True, id=None): def label(self, decimals=None, base_label=None, cache=None): return f"{self.base.label(decimals, base_label, cache=cache)}โ€ " - # pylint: disable=arguments-differ - @staticmethod - def compute_matrix(*params, base=None): - base_matrix = base.compute_matrix(*params, **base.hyperparameters) + # pylint: disable=arguments-renamed, invalid-overridden-method + @property + def has_matrix(self): + return self.base.has_matrix if self.base.batch_size is None else False + + def matrix(self, wire_order=None): + if self.base.batch_size is not None: + raise qml.operation.MatrixUndefinedError + base_matrix = self.base.matrix(wire_order=wire_order) return transpose(conj(base_matrix)) def decomposition(self): diff --git a/pennylane/ops/op_math/controlled_class.py b/pennylane/ops/op_math/controlled_class.py index e1723c8eaf0..1a8d8901ef1 100644 --- a/pennylane/ops/op_math/controlled_class.py +++ b/pennylane/ops/op_math/controlled_class.py @@ -167,10 +167,15 @@ def __init__( self.hyperparameters["control_values"] = control_values self.hyperparameters["work_wires"] = work_wires - self._name = f"C{base.name}" + self._name = f"C({base.name})" super().__init__(base, do_queue, id) + # pylint: disable=arguments-renamed, invalid-overridden-method + @property + def has_matrix(self): + return self.base.has_matrix if self.base.batch_size is None else False + # Properties on the control values ###################### @property def control_values(self): @@ -239,6 +244,9 @@ def label(self, decimals=None, base_label=None, cache=None): def matrix(self, wire_order=None): + if self.base.batch_size is not None: + raise qml.operation.MatrixUndefinedError + base_matrix = self.base.matrix() interface = qmlmath.get_interface(base_matrix) @@ -375,17 +383,17 @@ def _inverse(self): def _inverse(self, boolean): self.base._inverse = boolean # pylint: disable=protected-access # refresh name as base_name got updated. - self._name = f"C{self.base.name}" + self._name = f"C({self.base.name})" def inv(self): self.base.inv() # refresh name as base_name got updated. - self._name = f"C{self.base.name}" + self._name = f"C({self.base.name})" return self @property def base_name(self): - return f"C{self.base.base_name}" + return f"C({self.base.base_name})" @property def name(self): diff --git a/pennylane/ops/op_math/pow_class.py b/pennylane/ops/op_math/pow_class.py index da85f638d29..454c14a5a33 100644 --- a/pennylane/ops/op_math/pow_class.py +++ b/pennylane/ops/op_math/pow_class.py @@ -161,6 +161,14 @@ def z(self): """The exponent.""" return self.hyperparameters["z"] + @property + def batch_size(self): + return self.base.batch_size + + @property + def ndim_params(self): + return self.base.ndim_params + def label(self, decimals=None, base_label=None, cache=None): z_string = format(self.z).translate(_superscript) return self.base.label(decimals, base_label, cache=cache) + z_string diff --git a/pennylane/ops/op_math/prod.py b/pennylane/ops/op_math/prod.py index 5a9d21f917a..f3a0805713f 100644 --- a/pennylane/ops/op_math/prod.py +++ b/pennylane/ops/op_math/prod.py @@ -198,7 +198,7 @@ def data(self, new_data): @property def batch_size(self): """Batch size of input parameters.""" - return None + return next((op.batch_size for op in self.factors if op.batch_size is not None), None) @property def num_params(self): diff --git a/pennylane/ops/op_math/sum.py b/pennylane/ops/op_math/sum.py index 91c46d48284..a204ca7679a 100644 --- a/pennylane/ops/op_math/sum.py +++ b/pennylane/ops/op_math/sum.py @@ -188,16 +188,6 @@ def data(self, new_data): for new_entry, op in zip(new_data, self.summands): op.data = new_entry - @property - def batch_size(self): - """Batch size of input parameters.""" - raise ValueError("Batch size is not defined for Sum operators.") - - @property - def ndim_params(self): - """ndim_params of input parameters.""" - raise ValueError("Dimension of parameters is not currently implemented for Sum operators.") - @property def num_wires(self): return len(self.wires) diff --git a/pennylane/ops/op_math/symbolicop.py b/pennylane/ops/op_math/symbolicop.py index 9ca8a2054cf..51301e7241d 100644 --- a/pennylane/ops/op_math/symbolicop.py +++ b/pennylane/ops/op_math/symbolicop.py @@ -106,14 +106,6 @@ def _wires(self, new_wires): def num_wires(self): return len(self.wires) - @property - def batch_size(self): - return self.base.batch_size - - @property - def ndim_params(self): - return self.base.ndim_params - # pylint: disable=arguments-renamed, invalid-overridden-method @property def has_matrix(self): diff --git a/tests/ops/op_math/test_adjoint_op.py b/tests/ops/op_math/test_adjoint_op.py index 4e8300ff407..4c2bfe22a3c 100644 --- a/tests/ops/op_math/test_adjoint_op.py +++ b/tests/ops/op_math/test_adjoint_op.py @@ -233,22 +233,6 @@ class DummyOp(qml.operation.Operator): op = Adjoint(DummyOp(0)) assert op.is_hermitian == value - def test_batching_properties(self): - """Test that Adjoint batching behavior mirrors that of the base.""" - - class DummyOp(qml.operation.Operator): - ndim_params = (0, 2) - num_wires = 1 - - param1 = [0.3] * 3 - param2 = [[[0.3, 1.2]]] * 3 - - base = DummyOp(param1, param2, wires=0) - op = Adjoint(base) - - assert op.ndim_params == (0, 2) - assert op.batch_size == 3 - class TestSimplify: """Test Adjoint simplify method and depth property.""" @@ -701,3 +685,18 @@ def circuit(x): expected_grad = np.cos(x) assert qml.math.allclose(grad, expected_grad) + + def test_adj_batching(self): + """Test execution of the adjoint of an operation with batched parameters.""" + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev) + def circuit(x): + Adjoint(qml.RX(x, wires=0)) + return qml.expval(qml.PauliY(0)) + + x = qml.numpy.array([1.234, 2.34, 3.456]) + res = circuit(x) + + expected = np.sin(x) + assert qml.math.allclose(res, expected) diff --git a/tests/ops/op_math/test_controlled_op.py b/tests/ops/op_math/test_controlled_op.py index b427cb74521..e59272aac51 100644 --- a/tests/ops/op_math/test_controlled_op.py +++ b/tests/ops/op_math/test_controlled_op.py @@ -118,7 +118,7 @@ def test_nonparametric_ops(self): assert op.work_wires == Wires(("aux")) - assert op.name == "CTempOperator" + assert op.name == "C(TempOperator)" assert op.id == "something" assert op.num_params == 0 @@ -213,6 +213,14 @@ class DummyOp(Operator): op = Controlled(DummyOp(1), 0) assert op.has_matrix is value + def test_no_matrix_if_batching(self): + """Test that has_matrix is false if the base operator has batching.""" + + x = np.array([1.2, 3.4, 5.6]) + base = qml.RX(x, wires=0) + op = Controlled(base, 1) + assert op.has_matrix is False + @pytest.mark.parametrize("value", ("_ops", "_prep", None)) def test_queue_cateogry(self, value): """Test that Controlled defers `_queue_category` to base operator.""" @@ -235,22 +243,6 @@ class DummyOp(Operator): op = Controlled(DummyOp(1), 0) assert op.is_hermitian is value - def test_batching_properties(self): - """Test that Adjoint batching behavior mirrors that of the base.""" - - class DummyOp(Operator): - ndim_params = (0, 2) - num_wires = 1 - - param1 = [0.3] * 3 - param2 = [[[0.3, 1.2]]] * 3 - - base = DummyOp(param1, param2, wires=0) - op = Controlled(base, 1) - - assert op.ndim_params == (0, 2) - assert op.batch_size == 3 - def test_private_wires_getter_setter(self): """Test that we can get and set private wires.""" @@ -271,7 +263,7 @@ def test_private_wires_setter_too_few_wires(self): base = qml.IsingXX(1.234, wires=(0, 1)) op = Controlled(base, (3, 4), work_wires="aux") - with pytest.raises(AssertionError, match="CIsingXX needs at least 4 wires."): + with pytest.raises(AssertionError, match=r"C\(IsingXX\) needs at least 4 wires."): op._wires = ("a", "b") def test_private_wires_setter_no_work_wires(self): @@ -383,14 +375,14 @@ def test_invert_controlled_op(self): op = Controlled(base, 2) assert op.inverse == base.inverse == False - assert op.name == "CS" + assert op.name == "C(S)" op.inv() assert op.inverse == False assert base.inverse == True - assert op.name == "CS.inv" - assert op.base_name == "CS" + assert op.name == "C(S.inv)" + assert op.base_name == "C(S)" def test_inverse_setter(self): """Teest that the inverse property can be set.""" @@ -398,14 +390,14 @@ def test_inverse_setter(self): op = Controlled(base, 1) assert op.inverse == base.inverse == False - assert op.name == "CT" + assert op.name == "C(T)" op.inverse = True assert op.inverse == False assert base.inverse == True - assert op.name == "CT.inv" - assert op.base_name == "CT" + assert op.name == "C(T.inv)" + assert op.base_name == "C(T)" @pytest.mark.parametrize("gm", (None, "A", "F")) def test_grad_method(self, gm): @@ -560,6 +552,15 @@ def test_do_queue_false(self): class TestMatrix: """Tests of Controlled.matrix and Controlled.sparse_matrix""" + def test_raises_error_if_batching(self): + """Test a MatrixUndefinedError is raised if the base is batched.""" + x = np.array([1.0, 2.0, 3.0]) + base = qml.RX(x, 0) + op = Controlled(base, 1) + + with pytest.raises(qml.operation.MatrixUndefinedError): + op.matrix() + @pytest.mark.parametrize("base, num_control, mat", base_num_control_mats) def test_matrix_compare_with_gate_data(self, base, num_control, mat): """Test the matrix against matrices provided by `gate_data` file.""" diff --git a/tests/ops/op_math/test_pow_op.py b/tests/ops/op_math/test_pow_op.py index 960798ea3cc..c981a57a88b 100644 --- a/tests/ops/op_math/test_pow_op.py +++ b/tests/ops/op_math/test_pow_op.py @@ -718,9 +718,23 @@ def circuit(x, z): expected_grad = -z * np.cos(x * z) assert qml.math.allclose(grad, expected_grad) - @pytest.mark.xfail + def test_batching_execution(self): + """Test Pow execution with batched base gate parameters.""" + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev) + def circuit(x): + Pow(qml.RX(x, wires=0), 2.5) + return qml.expval(qml.PauliY(0)) + + x = qml.numpy.array([1.234, 2.34, 3.456]) + res = circuit(x) + + expected = -np.sin(x * 2.5) + assert qml.math.allclose(res, expected) + def test_non_decomposable_power(self): - """This test will fail until we improve device support for power operators.""" + """Test execution of a pow operator that cannot be decomposed.""" @qml.qnode(qml.device("default.qubit", wires=1)) def circ(): diff --git a/tests/ops/op_math/test_prod.py b/tests/ops/op_math/test_prod.py index 6ed6d3ba502..8fe394e028a 100644 --- a/tests/ops/op_math/test_prod.py +++ b/tests/ops/op_math/test_prod.py @@ -175,10 +175,15 @@ def test_terms(self, ops_lst): for f1, f2 in zip(prod_op.factors, prod_term_ops[0].factors): assert qml.equal(f1, f2) - def test_batch_size_is_None(self): - """Test that calling batch_size returns None - (i.e no batching with Prod).""" - prod_op = prod(qml.PauliX(0), qml.Identity(1)) + def test_batch_size(self): + """Test that batch size returns the batch size of a base operation if it is batched.""" + x = qml.numpy.array([1.0, 2.0, 3.0]) + prod_op = prod(qml.PauliX(0), qml.RX(x, wires=0)) + assert prod_op.batch_size == 3 + + def test_batch_size_None(self): + """Test that the batch size is none if no factors have batching.""" + prod_op = prod(qml.PauliX(0), qml.RX(1.0, wires=0)) assert prod_op.batch_size is None @pytest.mark.parametrize("ops_lst", ops) @@ -246,7 +251,7 @@ def test_copy(self, ops_lst): for f1, f2 in zip(prod_op.factors, copied_op.factors): assert qml.equal(f1, f2) - assert not (f1 is f2) + assert f1 is not f2 class TestMatrix: @@ -889,3 +894,25 @@ def true_state_circ(): return qml.state() assert qnp.allclose(prod_state_circ(), true_state_circ()) + + def test_batched_operation(self): + """Test that prod with batching gives expected results.""" + x = qml.numpy.array([1.0, 2.0, 3.0]) + y = qml.numpy.array(0.5) + + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev) + def batched_prod(x, y): + qml.prod(qml.RX(x, wires=0), qml.RY(y, wires=0)) + return qml.expval(qml.PauliZ(0)) + + @qml.qnode(dev) + def batched_no_prod(x, y): + qml.RY(y, wires=0) + qml.RX(x, wires=0) + return qml.expval(qml.PauliZ(0)) + + res1 = batched_prod(x, y) + res2 = batched_no_prod(x, y) + assert qml.math.allclose(res1, res2) diff --git a/tests/ops/op_math/test_sprod.py b/tests/ops/op_math/test_sprod.py index 84eb88a08bd..a761d3b0c4e 100644 --- a/tests/ops/op_math/test_sprod.py +++ b/tests/ops/op_math/test_sprod.py @@ -548,6 +548,8 @@ def test_s_prod_top_level(self, op_scalar_tup): class TestIntegration: + """Integration tests for SProd with a QNode.""" + def test_measurement_process_expval(self): """Test SProd class instance in expval measurement process.""" dev = qml.device("default.qubit", wires=2) @@ -667,3 +669,55 @@ def my_circ(): with pytest.raises(QuantumFunctionError, match="SProd is not an observable:"): my_circ() + + @pytest.mark.torch + @pytest.mark.parametrize("diff_method", ("parameter-shift", "backprop")) + def test_torch(self, diff_method): + """Test that interface parameters can be unwrapped to numpy. This will occur when parameter-shift + is requested for a given interface.""" + + import torch + + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev, interface="torch", diff_method=diff_method) + def circuit(s): + return qml.expval(qml.s_prod(s, qml.PauliZ(0))) + + res = circuit(torch.tensor(2)) + + assert qml.math.allclose(res, 2) + + @pytest.mark.jax + @pytest.mark.parametrize("diff_method", ("parameter-shift", "backprop")) + def test_torch(self, diff_method): + """Test that interface parameters can be unwrapped to numpy. This will occur when parameter-shift + is requested for a given interface.""" + + from jax import numpy as jnp + + dev = qml.device("default.qubit", wires=1) + + @qml.qnode(dev, interface="jax", diff_method=diff_method) + def circuit(s): + return qml.expval(qml.s_prod(s, qml.PauliZ(0))) + + res = circuit(jnp.array(2)) + + assert qml.math.allclose(res, 2) + + @pytest.mark.tf + @pytest.mark.parametrize("diff_method", ("parameter-shift", "backprop")) + def test_tensorflow_qnode(self, diff_method): + + import tensorflow as tf + + dev = qml.device("default.qubit", wires=5) + + @qml.qnode(dev, interface="tensorflow", diff_method=diff_method) + def circuit(s): + return qml.expval(qml.s_prod(s, qml.PauliZ(0))) + + res = circuit(tf.Variable(2)) + + assert qml.math.allclose(res, 2) diff --git a/tests/ops/op_math/test_sum.py b/tests/ops/op_math/test_sum.py index 91c9a4080da..a07f8499d71 100644 --- a/tests/ops/op_math/test_sum.py +++ b/tests/ops/op_math/test_sum.py @@ -202,17 +202,14 @@ def test_ndim_params_raises_error(self): """Test that calling ndim_params raises a ValueError.""" sum_op = Sum(qml.PauliX(0), qml.Identity(1)) - with pytest.raises( - ValueError, - match="Dimension of parameters is not currently implemented for Sum operators.", - ): + with pytest.raises(AttributeError): _ = sum_op.ndim_params def test_batch_size_raises_error(self): """Test that calling batch_size raises a ValueError.""" sum_op = Sum(qml.PauliX(0), qml.Identity(1)) - with pytest.raises(ValueError, match="Batch size is not defined for Sum operators."): + with pytest.raises(AttributeError): _ = sum_op.batch_size def test_decomposition_raises_error(self): diff --git a/tests/ops/op_math/test_symbolic_op.py b/tests/ops/op_math/test_symbolic_op.py index 4b80c74d6ac..7b7746f431b 100644 --- a/tests/ops/op_math/test_symbolic_op.py +++ b/tests/ops/op_math/test_symbolic_op.py @@ -155,22 +155,6 @@ class DummyOp(qml.operation.Operator): op = SymbolicOp(t) assert op.num_wires == 3 - def test_batching_properties(self): - """Test a symbolic operator inherits the batching properties of its base.""" - - class DummyOp(qml.operation.Operator): - ndim_params = (0, 2) - num_wires = 1 - - param1 = [0.3] * 3 - param2 = [[[0.3, 1.2]]] * 3 - - base = DummyOp(param1, param2, wires=0) - op = SymbolicOp(base) - - assert op.ndim_params == (0, 2) - assert op.batch_size == 3 - class TestQueuing: """Test that Symbolic Operators queue and update base metadata.""" From 4a7dfb6b64a0248fa4e4afbcd8dfc61134caa43c Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 14:53:16 -0400 Subject: [PATCH 11/19] raise error when sampling with other non-commuting observables --- pennylane/_qubit_device.py | 22 ++++++++++++++++- tests/test_qubit_device.py | 48 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 69 insertions(+), 1 deletion(-) diff --git a/pennylane/_qubit_device.py b/pennylane/_qubit_device.py index 33791ea2ddc..bc869d68456 100644 --- a/pennylane/_qubit_device.py +++ b/pennylane/_qubit_device.py @@ -312,10 +312,20 @@ def execute(self, circuit, **kwargs): # apply all circuit operations self.apply(circuit.operations, rotations=circuit.diagonalizing_gates, **kwargs) - # generate computational basis samples + # generate computational basis samples and check for commutativity in sampled observables if self.shots is not None or circuit.is_sampled: self._samples = self.generate_samples() + sampled_obs = [ + o for o in circuit.measurements if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) + ] + raw_sampled_ops = any(o.obs is None for o in sampled_obs) + if raw_sampled_ops and circuit.diagonalizing_gates: + raise qml.QuantumFunctionError( + f"Computational basis measurements do not commute with some of the " + f"other measurements being performed:\n {circuit.measurements}" + ) + ret_types = [m.return_type for m in circuit.measurements] counts_exist = any(ret is qml.measurements.Counts for ret in ret_types) @@ -401,6 +411,16 @@ def execute_new(self, circuit, **kwargs): if self.shots is not None: self._samples = self.generate_samples() + sampled_obs = [ + o for o in circuit.measurements if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) + ] + raw_sampled_ops = any(o.obs is None for o in sampled_obs) + if raw_sampled_ops and circuit.diagonalizing_gates: + raise qml.QuantumFunctionError( + f"Computational basis measurements do not commute with some of the " + f"other measurements being performed:\n {circuit.measurements}" + ) + # compute the required statistics if self._shot_vector is not None: diff --git a/tests/test_qubit_device.py b/tests/test_qubit_device.py index 19bbfc629c9..760a53203a3 100644 --- a/tests/test_qubit_device.py +++ b/tests/test_qubit_device.py @@ -753,6 +753,28 @@ def test_no_eigval_error(self, mock_qubit_device_with_original_statistics): with pytest.raises(qml.operation.EigvalsUndefinedError, match="Cannot compute samples"): dev.sample(qml.Hamiltonian([1.0], [qml.PauliX(0)])) + def test_no_error_measuring__commuting_ops_in_sample(self): + """Test that no error is raised when computational basis samples are + taken with other commuting measurements.""" + dev = qml.device("default.qubit", wires=1, shots=10) + + @qml.qnode(dev) + def circuit(): + return qml.expval(qml.PauliZ(wires=0)), qml.sample() + + _ = circuit() + + def test_no_error_measuring__commuting_ops_in_counts(self): + """Test that no error is raised when computational basis samples are + taken with other commuting measurements.""" + dev = qml.device("default.qubit", wires=1, shots=10) + + @qml.qnode(dev) + def circuit(): + return qml.expval(qml.PauliZ(wires=0)), qml.counts() + + _ = circuit() + class TestSampleWithBroadcasting: """Test the sample method when broadcasting is used""" @@ -1151,6 +1173,32 @@ def circuit_3(x, y): node_3(0.432, 0.12) assert dev_1.num_executions == num_evals_1 + num_evals_3 + def test_raise_error_measuring_non_commuting_ops_in_sample(self): + """Test that an error is raised in the execution method when + computational basis samples are taken and other non-commuting + measurements are present""" + dev = qml.device("default.qubit", wires=2, shots=10) + + @qml.qnode(dev) + def circuit(): + return qml.expval(qml.PauliZ(0) @ qml.PauliX(1)), qml.sample() + + with pytest.raises(qml.QuantumFunctionError, match="Computational basis measurements do not commute"): + _ = circuit() + + def test_raise_error_measuring_non_commuting_ops_in_counts(self): + """Test that an error is raised in the execution method when + computational basis samples are taken and other non-commuting + measurements are present""" + dev = qml.device("default.qubit", wires=2, shots=10) + + @qml.qnode(dev) + def circuit(): + return qml.expval(qml.PauliZ(0) @ qml.PauliX(1)), qml.counts() + + with pytest.raises(qml.QuantumFunctionError, match="Computational basis measurements do not commute"): + _ = circuit() + class TestExecutionBroadcasted: """Tests for the execute method with broadcasted parameters""" From 400e640c2540f598d4838cbf0ccb292e7d7424c2 Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 15:09:05 -0400 Subject: [PATCH 12/19] lint --- pennylane/_qubit_device.py | 16 ++++++++++------ tests/test_qubit_device.py | 8 ++++++-- 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/pennylane/_qubit_device.py b/pennylane/_qubit_device.py index bc869d68456..5ae079b01bb 100644 --- a/pennylane/_qubit_device.py +++ b/pennylane/_qubit_device.py @@ -316,9 +316,11 @@ def execute(self, circuit, **kwargs): if self.shots is not None or circuit.is_sampled: self._samples = self.generate_samples() - sampled_obs = [ - o for o in circuit.measurements if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) - ] + sampled_obs = [] + for o in circuit.measurements: + if o.return_type in (qml.measurements.Sample, qml.measurements.Counts): + sampled_obs.append(o) + raw_sampled_ops = any(o.obs is None for o in sampled_obs) if raw_sampled_ops and circuit.diagonalizing_gates: raise qml.QuantumFunctionError( @@ -411,9 +413,11 @@ def execute_new(self, circuit, **kwargs): if self.shots is not None: self._samples = self.generate_samples() - sampled_obs = [ - o for o in circuit.measurements if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) - ] + sampled_obs = [] + for o in circuit.measurements: + if o.return_type in (qml.measurements.Sample, qml.measurements.Counts): + sampled_obs.append(o) + raw_sampled_ops = any(o.obs is None for o in sampled_obs) if raw_sampled_ops and circuit.diagonalizing_gates: raise qml.QuantumFunctionError( diff --git a/tests/test_qubit_device.py b/tests/test_qubit_device.py index 760a53203a3..96bcca9cae2 100644 --- a/tests/test_qubit_device.py +++ b/tests/test_qubit_device.py @@ -1183,7 +1183,9 @@ def test_raise_error_measuring_non_commuting_ops_in_sample(self): def circuit(): return qml.expval(qml.PauliZ(0) @ qml.PauliX(1)), qml.sample() - with pytest.raises(qml.QuantumFunctionError, match="Computational basis measurements do not commute"): + with pytest.raises( + qml.QuantumFunctionError, match="Computational basis measurements do not commute" + ): _ = circuit() def test_raise_error_measuring_non_commuting_ops_in_counts(self): @@ -1196,7 +1198,9 @@ def test_raise_error_measuring_non_commuting_ops_in_counts(self): def circuit(): return qml.expval(qml.PauliZ(0) @ qml.PauliX(1)), qml.counts() - with pytest.raises(qml.QuantumFunctionError, match="Computational basis measurements do not commute"): + with pytest.raises( + qml.QuantumFunctionError, match="Computational basis measurements do not commute" + ): _ = circuit() From fc12631a0728d697ca21b91ec42d5d5eef37da65 Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 15:20:16 -0400 Subject: [PATCH 13/19] changelog --- doc/releases/changelog-0.25.0.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index c410560893c..581a21dd25c 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -758,6 +758,11 @@ of operators. * Calling `qml.equal` with nested operators now raises a NotImplementedError. [(#2877)](https://github.com/PennyLaneAI/pennylane/pull/2877) +* Returning `qml.sample()` or `qml.counts()` with other non-commuting measurements of observables + now raises a QuantumFunctionError. (eg. `return qml.expval(PauliX(wires=0)), qml.sample()` + now raises an error) + [(#2924)](https://github.com/PennyLaneAI/pennylane/pull/2924) +

Contributors

This release contains contributions from (in alphabetical order): From 1c12a1a260f84a3d75d7aa96d9b62631fe066cbb Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 17:05:33 -0400 Subject: [PATCH 14/19] Apply suggestions from code review Co-authored-by: antalszava --- doc/releases/changelog-0.25.0.md | 6 +++--- tests/test_qubit_device.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index 581a21dd25c..382d3d0dcd3 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -758,9 +758,9 @@ of operators. * Calling `qml.equal` with nested operators now raises a NotImplementedError. [(#2877)](https://github.com/PennyLaneAI/pennylane/pull/2877) -* Returning `qml.sample()` or `qml.counts()` with other non-commuting measurements of observables - now raises a QuantumFunctionError. (eg. `return qml.expval(PauliX(wires=0)), qml.sample()` - now raises an error) +* Returning `qml.sample()` or `qml.counts()` with other measurements of non-commuting observables + now raises a QuantumFunctionError (e.g., `return qml.expval(PauliX(wires=0)), qml.sample()` + now raises an error). [(#2924)](https://github.com/PennyLaneAI/pennylane/pull/2924)

Contributors

diff --git a/tests/test_qubit_device.py b/tests/test_qubit_device.py index 96bcca9cae2..ae823c631b1 100644 --- a/tests/test_qubit_device.py +++ b/tests/test_qubit_device.py @@ -773,7 +773,7 @@ def test_no_error_measuring__commuting_ops_in_counts(self): def circuit(): return qml.expval(qml.PauliZ(wires=0)), qml.counts() - _ = circuit() + circuit() class TestSampleWithBroadcasting: @@ -1186,7 +1186,7 @@ def circuit(): with pytest.raises( qml.QuantumFunctionError, match="Computational basis measurements do not commute" ): - _ = circuit() + circuit() def test_raise_error_measuring_non_commuting_ops_in_counts(self): """Test that an error is raised in the execution method when @@ -1201,7 +1201,7 @@ def circuit(): with pytest.raises( qml.QuantumFunctionError, match="Computational basis measurements do not commute" ): - _ = circuit() + circuit() class TestExecutionBroadcasted: From d6ae1c211f84bb76952f635ea92bf8363539498b Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 17:08:30 -0400 Subject: [PATCH 15/19] Update pennylane/_qubit_device.py --- pennylane/_qubit_device.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/pennylane/_qubit_device.py b/pennylane/_qubit_device.py index 5ae079b01bb..ea1a073dfef 100644 --- a/pennylane/_qubit_device.py +++ b/pennylane/_qubit_device.py @@ -316,12 +316,11 @@ def execute(self, circuit, **kwargs): if self.shots is not None or circuit.is_sampled: self._samples = self.generate_samples() - sampled_obs = [] + raw_sampled_ops = False for o in circuit.measurements: - if o.return_type in (qml.measurements.Sample, qml.measurements.Counts): - sampled_obs.append(o) - - raw_sampled_ops = any(o.obs is None for o in sampled_obs) + if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) and o.obs is None: + raw_sampled_ops = True + break if raw_sampled_ops and circuit.diagonalizing_gates: raise qml.QuantumFunctionError( f"Computational basis measurements do not commute with some of the " From 5312eda8bfa56dcd0db7827fc47d2022b10dbbd0 Mon Sep 17 00:00:00 2001 From: Jay Soni Date: Wed, 10 Aug 2022 17:10:22 -0400 Subject: [PATCH 16/19] Apply suggestions from code review --- pennylane/_qubit_device.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/pennylane/_qubit_device.py b/pennylane/_qubit_device.py index ea1a073dfef..daf2919d0bd 100644 --- a/pennylane/_qubit_device.py +++ b/pennylane/_qubit_device.py @@ -321,6 +321,7 @@ def execute(self, circuit, **kwargs): if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) and o.obs is None: raw_sampled_ops = True break + if raw_sampled_ops and circuit.diagonalizing_gates: raise qml.QuantumFunctionError( f"Computational basis measurements do not commute with some of the " @@ -412,12 +413,12 @@ def execute_new(self, circuit, **kwargs): if self.shots is not None: self._samples = self.generate_samples() - sampled_obs = [] + raw_sampled_ops = False for o in circuit.measurements: - if o.return_type in (qml.measurements.Sample, qml.measurements.Counts): - sampled_obs.append(o) + if o.return_type in (qml.measurements.Sample, qml.measurements.Counts) and o.obs is None: + raw_sampled_ops = True + break - raw_sampled_ops = any(o.obs is None for o in sampled_obs) if raw_sampled_ops and circuit.diagonalizing_gates: raise qml.QuantumFunctionError( f"Computational basis measurements do not commute with some of the " From bae1778d39e26c97b3cdd9234a162d8050bb138e Mon Sep 17 00:00:00 2001 From: Christina Lee Date: Wed, 10 Aug 2022 17:37:49 -0400 Subject: [PATCH 17/19] Update development guide to explain `dev.stopping.condition` (#2925) * update developer docs to reflect default qubit change * typo * Update doc/development/adding_operators.rst * add code examples --- doc/development/adding_operators.rst | 15 +++++++++++---- doc/development/plugins.rst | 20 ++++++++++++++++++-- 2 files changed, 29 insertions(+), 6 deletions(-) diff --git a/doc/development/adding_operators.rst b/doc/development/adding_operators.rst index a0a21b328b7..7326fb40cfc 100644 --- a/doc/development/adding_operators.rst +++ b/doc/development/adding_operators.rst @@ -213,16 +213,23 @@ FlipAndRotate(0.1, wires=['q3', 'q1']) >>> op.adjoint() FlipAndRotate(-0.1, wires=['q3', 'q1']) -The new gate can be used with PennyLane devices. PennyLane checks with the device -whether it supports operations using the operation name. +The new gate can be used with PennyLane devices. Device support for an operation can be checked via +``dev.stopping_condition(op)``. If ``True``, then the device supports the operation. + +``DefaultQubit`` first checks if the operator has a matrix using the :attr:`~.Operator.has_matrix` property. +If the Operator doesn't have a matrix, the device then checks if the name of the Operator is explicitly specified in +:attr:`~DefaultQubit.operations` or :attr:`~DefaultQubit.observables`. + +Other devices that do not inherit from ``DefaultQubit`` only check if the name is explicitly specified in the ``operations`` +property. - If the device registers support for an operation with the same name, PennyLane leaves the gate implementation up to the device. The device might have a hardcoded implementation, *or* it may refer to one of the numerical representations of the operator (such as :meth:`.Operator.matrix`). -- If the device does not register support for an operation with the same - name, PennyLane will automatically decompose the gate using :meth:`.Operator.decomposition`. +- If the device does not support an operation, PennyLane will automatically + decompose the gate using :meth:`.Operator.decomposition`. .. code-block:: python diff --git a/doc/development/plugins.rst b/doc/development/plugins.rst index 292debba37e..eaaeda49b6b 100644 --- a/doc/development/plugins.rst +++ b/doc/development/plugins.rst @@ -85,11 +85,27 @@ Device capabilities You must further tell PennyLane about the operations that your device supports, as well as potential further capabilities, by providing the following class attributes/properties: -* :attr:`.Device.operations`: a set of the supported PennyLane operations as strings, e.g., +* :attr:`.Device.stopping_condition`: This :class:`~.BooleanFn` should return ``True`` for supported + operations and measurement processes, and ``False`` otherwise. Note that this function is called on + **both** ``Operator`` and ``MeasurementProcess`` classes. Though this function must accept both ``Operator`` + and ``MeasurementProcess`` classes, it does not affect whether or not a ``MeasurementProcess`` is supported. .. code-block:: python - operations = {"CNOT", "PauliX"} + @property + def stopping_condition(self): + def accepts_obj(obj): + return obj.name in {'CNOT', 'PauliX', 'PauliY', 'PauliZ'} + return qml.BooleanFn(accepts_obj) + + If the device does *not* inherit from :class:`~.DefaultQubit`, then supported operations can be determined + by the :attr:`.Device.operations` property. This property is a list of string names for supported operations. + :class:`~.DefaultQubit` supports any operation with a matrix, even if it's name isn't specifically enumerated + in :attr:`.Device.operations`. + + .. code-block:: python + + operations = {"CNOT", "PauliX"} See :doc:`/introduction/operations` for a full list of operations supported by PennyLane. From a8cd833c7ce8d3883c353c239f2ae664d654f451 Mon Sep 17 00:00:00 2001 From: Romain Moyard Date: Thu, 11 Aug 2022 09:49:12 -0400 Subject: [PATCH 18/19] Fix test randomness for `ShotAdaptiveOptimizer` (#2929) * return types * Update test * Typo --- tests/optimize/test_optimize_shot_adapative.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/optimize/test_optimize_shot_adapative.py b/tests/optimize/test_optimize_shot_adapative.py index 74791a82cb0..4a9838d96fa 100644 --- a/tests/optimize/test_optimize_shot_adapative.py +++ b/tests/optimize/test_optimize_shot_adapative.py @@ -574,9 +574,12 @@ def ansatz(x, **kwargs): class TestStepAndCost: """Tests for the step_and_cost method""" + @flaky(max_runs=3) def test_qnode_cost(self, tol): """Test that the cost is correctly returned when using a QNode as the cost function""" + np.random.seed(0) + dev = qml.device("default.qubit", wires=1, shots=10) @qml.qnode(dev, cache=False) From 04cf97513c7159ec550dba3a6df6c893a5e2aa92 Mon Sep 17 00:00:00 2001 From: antalszava Date: Thu, 11 Aug 2022 10:42:21 -0400 Subject: [PATCH 19/19] State finite shots warn (#2918) * first draft to gauge test failures * skip config tests when finite shots and state based return * skip tape shape test cases * device test * updated device test * new return types tests * remove errors, catch the warnings * changelog * run tests Co-authored-by: Albert Mitjans --- doc/releases/changelog-0.25.0.md | 9 ++++ pennylane/_qubit_device.py | 50 +++++++++++++++++++ pennylane/devices/tests/test_properties.py | 11 +++- tests/docs/test_supported_confs.py | 23 +++++++-- tests/returntypes/test_new_return_types.py | 58 ++++++++++++++++------ tests/tape/test_tape.py | 3 ++ 6 files changed, 136 insertions(+), 18 deletions(-) diff --git a/doc/releases/changelog-0.25.0.md b/doc/releases/changelog-0.25.0.md index c410560893c..130afbcacff 100644 --- a/doc/releases/changelog-0.25.0.md +++ b/doc/releases/changelog-0.25.0.md @@ -573,6 +573,15 @@ of operators.

Improvements ๐Ÿ“ˆ

+* A warning is emitted for measurements + - `qml.state` + - `qml.density_matrix` + - `qml.vn_entropy` + - `qml.mutual_info` + when using a device with finite shots or a shot list because the results of + these measurements are always analytic. + [(#2918)](https://github.com/PennyLaneAI/pennylane/pull/2918) + * The efficiency of the Hartree-Fock workflow has been improved by removing repetitive steps. [(#2850)](https://github.com/PennyLaneAI/pennylane/pull/2850) diff --git a/pennylane/_qubit_device.py b/pennylane/_qubit_device.py index 33791ea2ddc..b2dd7f1df7c 100644 --- a/pennylane/_qubit_device.py +++ b/pennylane/_qubit_device.py @@ -760,6 +760,14 @@ def statistics(self, observables, shot_range=None, bin_size=None): " with other return types" ) + if self.shots is not None: + warnings.warn( + "Requested state or density matrix with finite shots; the returned " + "state information is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) + # Check if the state is accessible and decide to return the state or the density # matrix. results.append(self.access_state(wires=obs.wires)) @@ -769,6 +777,15 @@ def statistics(self, observables, shot_range=None, bin_size=None): raise qml.QuantumFunctionError( "Returning the Von Neumann entropy is not supported when using custom wire labels" ) + + if self.shots is not None: + warnings.warn( + "Requested Von Neumann entropy with finite shots; the returned " + "result is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) + results.append(self.vn_entropy(wires=obs.wires, log_base=obs.log_base)) elif obs.return_type is MutualInfo: @@ -776,6 +793,15 @@ def statistics(self, observables, shot_range=None, bin_size=None): raise qml.QuantumFunctionError( "Returning the mutual information is not supported when using custom wire labels" ) + + if self.shots is not None: + warnings.warn( + "Requested mutual information with finite shots; the returned " + "state information is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) + wires0, wires1 = obs.raw_wires results.append( self.mutual_info(wires0=wires0, wires1=wires1, log_base=obs.log_base) @@ -863,6 +889,14 @@ def statistics_new(self, observables, shot_range=None, bin_size=None): " with other return types" ) + if self.shots is not None: + warnings.warn( + "Requested state or density matrix with finite shots; the returned " + "state information is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) + # Check if the state is accessible and decide to return the state or the density # matrix. state = self.access_state(wires=obs.wires) @@ -873,6 +907,14 @@ def statistics_new(self, observables, shot_range=None, bin_size=None): raise qml.QuantumFunctionError( "Returning the Von Neumann entropy is not supported when using custom wire labels" ) + + if self.shots is not None: + warnings.warn( + "Requested Von Neumann entropy with finite shots; the returned " + "result is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) result = self.vn_entropy(wires=obs.wires, log_base=obs.log_base) elif obs.return_type is MutualInfo: @@ -880,6 +922,14 @@ def statistics_new(self, observables, shot_range=None, bin_size=None): raise qml.QuantumFunctionError( "Returning the mutual information is not supported when using custom wire labels" ) + + if self.shots is not None: + warnings.warn( + "Requested mutual information with finite shots; the returned " + "state information is analytic and is unaffected by sampling. To silence " + "this warning, set shots=None on the device.", + UserWarning, + ) wires0, wires1 = obs.raw_wires result = self.mutual_info(wires0=wires0, wires1=wires1, log_base=obs.log_base) diff --git a/pennylane/devices/tests/test_properties.py b/pennylane/devices/tests/test_properties.py index e9f6a76f453..be21146d673 100755 --- a/pennylane/devices/tests/test_properties.py +++ b/pennylane/devices/tests/test_properties.py @@ -240,7 +240,16 @@ def circuit(): assert state is None else: - circuit() + + if dev.shots is not None: + with pytest.warns( + UserWarning, + match="Requested state or density matrix with finite shots; the returned", + ): + circuit() + else: + circuit() + assert dev.state is not None def test_returns_probs(self, device_kwargs): diff --git a/tests/docs/test_supported_confs.py b/tests/docs/test_supported_confs.py index b4b36939bc2..8b4c3e533fd 100644 --- a/tests/docs/test_supported_confs.py +++ b/tests/docs/test_supported_confs.py @@ -405,7 +405,13 @@ def test_all_paramshift_state(self, interface, return_type, shots, wire_specs): with pytest.raises(ValueError, match=msg): circuit = get_qnode(interface, "parameter-shift", return_type, shots, wire_specs) x = get_variable(interface, wire_specs, complex=complex) - grad = compute_gradient(x, interface, circuit, return_type, complex=complex) + if shots is not None: + + with pytest.warns(UserWarning, match="the returned result is analytic"): + grad = compute_gradient(x, interface, circuit, return_type, complex=complex) + else: + + grad = compute_gradient(x, interface, circuit, return_type, complex=complex) @pytest.mark.parametrize("interface", diff_interfaces) @pytest.mark.parametrize( @@ -421,7 +427,12 @@ def test_all_finitediff_nonstate(self, interface, return_type, shots, wire_specs # correctness is already tested in other test files circuit = get_qnode(interface, "finite-diff", return_type, shots, wire_specs) x = get_variable(interface, wire_specs) - grad = compute_gradient(x, interface, circuit, return_type) + if shots is not None and return_type in (VnEntropy, MutualInfo): + + with pytest.warns(UserWarning, match="unaffected by sampling"): + grad = compute_gradient(x, interface, circuit, return_type) + else: + grad = compute_gradient(x, interface, circuit, return_type) @pytest.mark.parametrize("interface", diff_interfaces) @pytest.mark.parametrize("return_type", ["StateCost", "StateVector", "DensityMatrix"]) @@ -440,7 +451,13 @@ def test_all_finitediff_state(self, interface, return_type, shots, wire_specs): with pytest.raises(ValueError, match=msg): circuit = get_qnode(interface, "finite-diff", return_type, shots, wire_specs) x = get_variable(interface, wire_specs, complex=complex) - grad = compute_gradient(x, interface, circuit, return_type, complex=complex) + + if shots is not None: + + with pytest.warns(UserWarning, match="unaffected by sampling"): + grad = compute_gradient(x, interface, circuit, return_type, complex=complex) + else: + grad = compute_gradient(x, interface, circuit, return_type, complex=complex) @pytest.mark.parametrize("interface", diff_interfaces) @pytest.mark.parametrize( diff --git a/tests/returntypes/test_new_return_types.py b/tests/returntypes/test_new_return_types.py index 4508ad0b271..bb7f05c1285 100644 --- a/tests/returntypes/test_new_return_types.py +++ b/tests/returntypes/test_new_return_types.py @@ -31,7 +31,7 @@ class TestSingleReturnExecute: @pytest.mark.parametrize("wires", wires) def test_state_default(self, wires, shots): """Return state with default.qubit.""" - dev = qml.device("default.qubit", wires=wires) + dev = qml.device("default.qubit", wires=wires, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -40,7 +40,12 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) assert res[0].shape == (2**wires,) assert isinstance(res[0], np.ndarray) @@ -48,7 +53,7 @@ def circuit(x): @pytest.mark.parametrize("wires", wires) def test_state_mixed(self, wires, shots): """Return state with default.mixed.""" - dev = qml.device("default.mixed", wires=wires) + dev = qml.device("default.mixed", wires=wires, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -58,7 +63,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) assert res[0].shape == (2**wires, 2**wires) assert isinstance(res[0], np.ndarray) @@ -67,7 +76,7 @@ def circuit(x): @pytest.mark.parametrize("d_wires", wires) def test_density_matrix(self, d_wires, device, shots): """Return density matrix.""" - dev = qml.device(device, wires=4) + dev = qml.device(device, wires=4, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -77,7 +86,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) assert res[0].shape == (2**d_wires, 2**d_wires) assert isinstance(res[0], np.ndarray) @@ -85,7 +98,7 @@ def circuit(x): @pytest.mark.parametrize("device", devices) def test_expval(self, device, shots): """Return a single expval.""" - dev = qml.device(device, wires=2) + dev = qml.device(device, wires=2, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -103,7 +116,7 @@ def circuit(x): @pytest.mark.parametrize("device", devices) def test_var(self, device, shots): """Return a single var.""" - dev = qml.device(device, wires=2) + dev = qml.device(device, wires=2, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -121,7 +134,7 @@ def circuit(x): @pytest.mark.parametrize("device", devices) def test_vn_entropy(self, device, shots): """Return a single vn entropy.""" - dev = qml.device(device, wires=2) + dev = qml.device(device, wires=2, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -131,7 +144,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) assert res[0].shape == () assert isinstance(res[0], np.ndarray) @@ -149,7 +166,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) assert res[0].shape == () assert isinstance(res[0], np.ndarray) @@ -166,7 +187,7 @@ def circuit(x): @pytest.mark.parametrize("op,wires", probs_data) def test_probs(self, op, wires, device, shots): """Return a single prob.""" - dev = qml.device(device, wires=3) + dev = qml.device(device, wires=3, shots=shots) def circuit(x): qml.Hadamard(wires=[0]) @@ -332,6 +353,7 @@ def circuit(x): @pytest.mark.parametrize("wires3, wires4", wires) def test_mix_meas(self, op1, wires1, op2, wires2, wires3, wires4, device, shots): """Return multiple different measurements.""" + dev = qml.device(device, wires=2, shots=shots) def circuit(x): @@ -347,7 +369,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) if wires1 is None: wires1 = op1.wires @@ -539,7 +565,11 @@ def circuit(x): qnode = qml.QNode(circuit, dev) qnode.construct([0.5], {}) - res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + if dev.shots is not None: + with pytest.warns(UserWarning, match="with finite shots; the returned"): + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) + else: + res = qml.execute_new(tapes=[qnode.tape], device=dev, gradient_fn=None) all_shots = sum([shot_tuple.copies for shot_tuple in dev.shot_vector]) diff --git a/tests/tape/test_tape.py b/tests/tape/test_tape.py index f1372172c71..9f1f1a84710 100644 --- a/tests/tape/test_tape.py +++ b/tests/tape/test_tape.py @@ -1958,6 +1958,9 @@ def test_output_shapes_single_qnode_check(self, measurement, expected_shape, sho if shots is None and measurement.return_type is qml.measurements.Sample: pytest.skip("Sample doesn't support analytic computations.") + if shots is not None and measurement.return_type is qml.measurements.State: + pytest.skip("State and density matrix don't support finite shots and raise a warning.") + # TODO: revisit when qml.sample without an observable has been updated # with shot vectors if (

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