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Add quantum_info benchmarks - Clifford & Cnot-Dihedral (#1280)
* Adding some basic Clifford and Cnot-Dihedral benchmarks * after linting * removing the custom timeouts, the default is good enough
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# -*- coding: utf-8 -* | ||
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# This code is part of Qiskit. | ||
# | ||
# (C) Copyright IBM 2021. | ||
# | ||
# This code is licensed under the Apache License, Version 2.0. You may | ||
# obtain a copy of this license in the LICENSE.txt file in the root directory | ||
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. | ||
# | ||
# Any modifications or derivative works of this code must retain this | ||
# copyright notice, and modified files need to carry a notice indicating | ||
# that they have been altered from the originals. | ||
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# pylint: disable=missing-docstring,invalid-name,no-member | ||
# pylint: disable=attribute-defined-outside-init | ||
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from qiskit.quantum_info import random_clifford, Clifford, decompose_clifford | ||
from qiskit.quantum_info import random_cnotdihedral, CNOTDihedral | ||
import numpy as np | ||
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class RandomCliffordBench: | ||
params = ['1,3000', '2,2500', '3,2000', '4,1500', '5,1000', '6,700'] | ||
param_names = ['nqubits,length'] | ||
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def time_random_clifford(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
for _ in range(length): | ||
random_clifford(nqubits) | ||
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class CliffordComposeBench: | ||
params = ['1,7000', '2,5000', '3,5000', '4,2500', '5,2000'] | ||
param_names = ['nqubits,length'] | ||
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def setup(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
self.random_clifford = \ | ||
[random_clifford(nqubits) for _ in range(length)] | ||
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def time_compose(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
clifford = Clifford(np.eye(2 * nqubits)) | ||
for i in range(length): | ||
clifford.compose(self.random_clifford[i]) | ||
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class CliffordDecomposeBench: | ||
params = ['1,1000', '2,500', '3,100', '4,50', '5,10'] | ||
param_names = ['nqubits,length'] | ||
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def setup(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
self.random_clifford = \ | ||
[random_clifford(nqubits) for _ in range(length)] | ||
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def time_decompose(self, nqubits_length): | ||
length = int(nqubits_length.split(',')[1]) | ||
for i in range(length): | ||
decompose_clifford(self.random_clifford[i]) | ||
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class RandomCnotDihedralBench: | ||
params = ['1,2000', '2,1500', '3,1200', '4,1000', '5,800', '6,700'] | ||
param_names = ['nqubits,length'] | ||
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def time_random_cnotdihedral(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
for _ in range(length): | ||
random_cnotdihedral(nqubits) | ||
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class CnotDihedralComposeBench: | ||
params = ['1,1500', '2,400', '3,100', '4,40', '5,10'] | ||
param_names = ['nqubits,length'] | ||
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def setup(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
self.random_cnotdihedral = \ | ||
[random_cnotdihedral(nqubits) for _ in range(length)] | ||
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def time_compose(self, nqubits_length): | ||
(nqubits, length) = map(int, nqubits_length.split(',')) | ||
cxdihedral = CNOTDihedral(num_qubits=nqubits) | ||
for i in range(length): | ||
cxdihedral.compose(self.random_cnotdihedral[i]) |