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This code is part of Qiskit.","#","# (C) Copyright IBM 2017, 2020.","#","# 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.","","\"\"\"Quantum Volume model circuit.\"\"\"","","from typing import Optional, Union","","import numpy as np","from qiskit.quantum_info.random import random_unitary","from qiskit.circuit import QuantumCircuit","from qiskit.circuit.library.generalized_gates.permutation import Permutation","","","class QuantumVolume(QuantumCircuit):"," \"\"\"A quantum volume model circuit.",""," The model circuits are random instances of circuits used to measure"," the Quantum Volume metric, as introduced in [1].",""," The model circuits consist of layers of Haar random"," elements of SU(4) applied between corresponding pairs"," of qubits in a random bipartition.",""," **Reference Circuit:**",""," .. plot::",""," from qiskit.circuit.library import QuantumVolume"," circuit = QuantumVolume(5, 6, seed=10)"," circuit.draw('mpl')",""," **Expanded Circuit:**",""," .. plot::",""," from qiskit.circuit.library import QuantumVolume"," from qiskit.visualization.library import _generate_circuit_library_visualization"," circuit = QuantumVolume(5, 6, seed=10, classical_permutation=False)"," _generate_circuit_library_visualization(circuit.decompose())",""," **References:**",""," [1] A. Cross et al. Validating quantum computers using"," randomized model circuits, Phys. Rev. A 100, 032328 (2019)."," [`arXiv:1811.12926 `_]"," \"\"\"",""," def __init__("," self,"," num_qubits: int,"," depth: Optional[int] = None,"," seed: Optional[Union[int, np.random.Generator]] = None,"," classical_permutation: bool = True,"," ) -> None:"," \"\"\"Create quantum volume model circuit of size num_qubits x depth.",""," Args:"," num_qubits: number of active qubits in model circuit."," depth: layers of SU(4) operations in model circuit."," seed: Random number generator or generator seed."," classical_permutation: use classical permutations at every layer,"," rather than quantum."," \"\"\""," # Initialize RNG"," if seed is None:"," rng_set = np.random.default_rng()"," seed = rng_set.integers(low=1, high=1000)"," if isinstance(seed, np.random.Generator):"," rng = seed"," else:"," rng = np.random.default_rng(seed)",""," # Parameters"," depth = depth or num_qubits # how many layers of SU(4)"," width = int(np.floor(num_qubits / 2)) # how many SU(4)s fit in each layer"," name = \"quantum_volume_\" + str([num_qubits, depth, seed]).replace(\" \", \"\")",""," # Generator random unitary seeds in advance."," # Note that this means we are constructing multiple new generator"," # objects from low-entropy integer seeds rather than pass the shared"," # generator object to the random_unitary function. 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