mirror of https://github.com/Qiskit/qiskit-aer.git
96 lines
4.0 KiB
Python
96 lines
4.0 KiB
Python
# This code is part of Qiskit.
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#
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# (C) Copyright IBM 2018, 2019.
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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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AerSimulator Integration Tests
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"""
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from ddt import ddt
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from test.terra.reference import ref_reset
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from test.terra.backends.simulator_test_case import SimulatorTestCase, supported_methods
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ALL_METHODS = [
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"automatic",
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"stabilizer",
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"statevector",
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"density_matrix",
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"matrix_product_state",
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"extended_stabilizer",
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"tensor_network",
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]
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@ddt
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class TestReset(SimulatorTestCase):
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"""AerSimulator reset tests."""
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# ---------------------------------------------------------------------
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# Test reset
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# ---------------------------------------------------------------------
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@supported_methods(ALL_METHODS)
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def test_reset_deterministic(self, method, device):
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"""Test AerSimulator reset with for circuits with deterministic counts"""
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backend = self.backend(method=method, device=device)
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# For statevector output we can combine deterministic and non-deterministic
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# count output circuits
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shots = 100
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circuits = ref_reset.reset_circuits_deterministic(final_measure=True)
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targets = ref_reset.reset_counts_deterministic(shots)
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result = backend.run(circuits, shots=shots).result()
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self.assertSuccess(result)
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self.compare_counts(result, circuits, targets, delta=0)
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@supported_methods(ALL_METHODS)
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def test_reset_nondeterministic(self, method, device):
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"""Test AerSimulator reset with for circuits with non-deterministic counts"""
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backend = self.backend(method=method, device=device)
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# For statevector output we can combine deterministic and non-deterministic
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# count output circuits
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shots = 4000
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circuits = ref_reset.reset_circuits_nondeterministic(final_measure=True)
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targets = ref_reset.reset_counts_nondeterministic(shots)
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result = backend.run(circuits, shots=shots).result()
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self.assertSuccess(result)
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self.compare_counts(result, circuits, targets, delta=0.05 * shots)
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@supported_methods(ALL_METHODS)
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def test_reset_sampling_opt(self, method, device):
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"""Test sampling optimization"""
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backend = self.backend(method=method, device=device)
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shots = 4000
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circuits = ref_reset.reset_circuits_sampling_optimization()
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targets = ref_reset.reset_counts_sampling_optimization(shots)
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result = backend.run(circuits, shots=shots).result()
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self.assertSuccess(result)
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self.compare_counts(result, circuits, targets, delta=0.05 * shots)
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@supported_methods(ALL_METHODS)
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def test_repeated_resets(self, method, device):
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"""Test repeated reset operations"""
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backend = self.backend(method=method, device=device)
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shots = 100
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circuits = ref_reset.reset_circuits_repeated()
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targets = ref_reset.reset_counts_repeated(shots)
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result = backend.run(circuits, shots=shots).result()
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self.assertSuccess(result)
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self.compare_counts(result, circuits, targets, delta=0)
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@supported_methods(ALL_METHODS)
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def test_reset_moving_qubits(self, method, device):
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"""Test AerSimulator reset with for circuits where qubits have moved"""
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backend = self.backend(method=method, device=device)
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# count output circuits
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shots = 1000
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circuits = ref_reset.reset_circuits_with_entangled_and_moving_qubits(final_measure=True)
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targets = ref_reset.reset_counts_with_entangled_and_moving_qubits(shots)
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result = backend.run(circuits, shots=shots).result()
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self.assertSuccess(result)
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self.compare_counts(result, circuits, targets, delta=0.05 * shots)
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