Closed KetpuntoG closed 2 months ago
This should return True
H1 = qml.ops.LinearCombination(np.array([1.0, 1.0]), [qml.PauliX(0), qml.PauliZ(0)]) H2 = qml.ops.LinearCombination(np.array([1.0, 1.0]), [qml.PauliX(0), qml.PauliZ(0)]) op1 = qml.PrepSelPrep(H1, control=[1]) op2 = qml.PrepSelPrep(H2, control=[1]) qml.assert_equal(op1, op2)
No response
Name: PennyLane Version: 0.39.0.dev2 Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network. Home-page: https://github.com/PennyLaneAI/pennylane Author: Author-email: License: Apache License 2.0 Location: /usr/local/lib/python3.10/dist-packages Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, packaging, pennylane-lightning, requests, rustworkx, scipy, toml, typing-extensions Required-by: PennyLane_Lightning Platform info: Linux-6.1.85+-x86_64-with-glibc2.35 Python version: 3.10.12 Numpy version: 1.26.4 Scipy version: 1.13.1 Installed devices: - lightning.qubit (PennyLane_Lightning-0.37.0) - default.clifford (PennyLane-0.39.0.dev2) - default.gaussian (PennyLane-0.39.0.dev2) - default.mixed (PennyLane-0.39.0.dev2) - default.qubit (PennyLane-0.39.0.dev2) - default.qubit.autograd (PennyLane-0.39.0.dev2) - default.qubit.jax (PennyLane-0.39.0.dev2) - default.qubit.legacy (PennyLane-0.39.0.dev2) - default.qubit.tf (PennyLane-0.39.0.dev2) - default.qubit.torch (PennyLane-0.39.0.dev2) - default.qutrit (PennyLane-0.39.0.dev2) - default.qutrit.mixed (PennyLane-0.39.0.dev2) - default.tensor (PennyLane-0.39.0.dev2) - null.qubit (PennyLane-0.39.0.dev2)
Expected behavior
This should return True
Actual behavior
Additional information
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Source code
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Tracebacks
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System information
Existing GitHub issues