mirror of https://github.com/Qiskit/qiskit-aer.git
87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
# This code is part of Qiskit.
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#
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# (C) Copyright IBM 2018, 2019, 2020.
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#
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# This code is licensed under the Apache License, Version 2.0. You may
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# obtain a copy of this license in the LICENSE.txt file in the root directory
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# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
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#
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# Any modifications or derivative works of this code must retain this
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# copyright notice, and modified files need to carry a notice indicating
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# that they have been altered from the originals.
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"""
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Output Benchmarking with 25 qubits
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"""
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from benchmark.simulator_benchmark import SimulatorBenchmarkSuite
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from benchmark.output import OutputSimulatorBenchmarkSuite
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DEFAULT_APPS = {
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# 'fourier_checking',
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# 'graph_state',
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# 'hidden_linear_function',
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# 'iqp',
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"quantum_volume": 1,
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# 'phase_estimation'
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}
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DEFAULT_QUBITS = [25]
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DEFAULT_RUNTIME = [
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SimulatorBenchmarkSuite.RUNTIME_STATEVECTOR_CPU,
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SimulatorBenchmarkSuite.RUNTIME_STATEVECTOR_GPU,
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# SimulatorBenchmarkSuite.RUNTIME_MPS_CPU,
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]
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DEFAULT_MEASUREMENT_COUNTS = [1, 10, 100, 1000, 10000]
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DEFAULT_NOISE_MODELS = [SimulatorBenchmarkSuite.NOISE_IDEAL]
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class Sampling(OutputSimulatorBenchmarkSuite):
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def __init__(
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self,
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apps=DEFAULT_APPS,
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qubits=DEFAULT_QUBITS,
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runtime_names=DEFAULT_RUNTIME,
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measures=[SimulatorBenchmarkSuite.MEASUREMENT_SAMPLING],
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measure_counts=DEFAULT_MEASUREMENT_COUNTS,
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noise_model_names=DEFAULT_NOISE_MODELS,
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):
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super().__init__(
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"sampling",
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apps,
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qubits=qubits,
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runtime_names=runtime_names,
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measures=measures,
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measure_counts=measure_counts,
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noise_model_names=noise_model_names,
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)
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self.__name__ = "sampling"
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class ExpVal(OutputSimulatorBenchmarkSuite):
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def __init__(
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self,
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apps=DEFAULT_APPS,
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qubits=DEFAULT_QUBITS,
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runtime_names=DEFAULT_RUNTIME,
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measures=[SimulatorBenchmarkSuite.MEASUREMENT_EXPVAL],
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measure_counts=DEFAULT_MEASUREMENT_COUNTS,
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noise_model_names=DEFAULT_NOISE_MODELS,
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):
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super().__init__(
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"expval",
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apps,
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qubits=qubits,
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runtime_names=runtime_names,
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measures=measures,
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measure_counts=measure_counts,
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noise_model_names=noise_model_names,
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)
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self.__name__ = "expval"
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if __name__ == "__main__":
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Sampling().run_manual()
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ExpVal().run_manual()
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