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Remove use of opflow and qi in tests #35

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Nov 9, 2023
Merged

Remove use of opflow and qi in tests #35

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9 changes: 6 additions & 3 deletions qiskit_neko/tests/machine_learning/test_neural_network_classifier.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
# (C) Copyright IBM 2022, 2023.
#
# 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
Expand All @@ -13,10 +13,13 @@
"""Tests for quantum neural networks classifier."""
import numpy as np
from ddt import ddt, data
from qiskit_algorithms.optimizers import COBYLA
from qiskit_algorithms.utils import algorithm_globals

from qiskit.primitives import Sampler as ReferenceSampler
from qiskit_aer.primitives import Sampler as AerSampler

from qiskit_algorithms.optimizers import COBYLA
from qiskit_algorithms.utils import algorithm_globals

from qiskit_machine_learning.algorithms.classifiers import VQC

from qiskit_neko import decorators
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64 changes: 0 additions & 64 deletions qiskit_neko/tests/machine_learning/test_neural_networks.py
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3 changes: 2 additions & 1 deletion qiskit_neko/tests/machine_learning/test_neural_networks_primitives.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
# (C) Copyright IBM 2022, 2023.
#
# 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
Expand All @@ -18,6 +18,7 @@
from qiskit.circuit import Parameter
from qiskit.primitives import Sampler as ReferenceSampler, Estimator as ReferenceEstimator
from qiskit.quantum_info import SparsePauliOp

from qiskit_aer.primitives import Sampler as AerSampler, Estimator as AerEstimator
from qiskit_machine_learning.neural_networks import SamplerQNN, EstimatorQNN

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70 changes: 0 additions & 70 deletions qiskit_neko/tests/machine_learning/test_neural_networks_twolayer.py
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19 changes: 10 additions & 9 deletions qiskit_neko/tests/primitives/test_vqe.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
# (C) Copyright IBM 2022, 2023.
#
# 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
Expand All @@ -12,13 +12,14 @@

"""Test primitives with vqe."""

from qiskit_algorithms import VQE, SamplingVQE
from qiskit_algorithms.optimizers import SPSA
from qiskit.circuit.library import TwoLocal
from qiskit.opflow import PauliSumOp
from qiskit.primitives import BackendEstimator, BackendSampler
from qiskit.quantum_info import SparsePauliOp
from qiskit.utils import algorithm_globals

from qiskit_algorithms import VQE, SamplingVQE
from qiskit_algorithms.optimizers import SPSA
from qiskit_algorithms.utils import algorithm_globals

from qiskit_aer.primitives import Estimator, Sampler

from qiskit_neko import decorators
Expand All @@ -38,7 +39,7 @@ def setUp(self):
def test_sampling_vqe(self):
"""Test the execution of SamplingVQE with BackendSampler."""
sampler = BackendSampler(self.backend)
operator = PauliSumOp(SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12]))
operator = SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12])
ansatz = TwoLocal(rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
optimizer = SPSA()
sampling_vqe = SamplingVQE(sampler, ansatz, optimizer)
Expand All @@ -51,7 +52,7 @@ def test_sampling_vqe(self):
def test_aer_sampling_vqe(self):
"""Test the aer sampler with SamplingVQE."""
sampler = Sampler(backend_options={"seed_simulator": 42})
operator = PauliSumOp(SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12]))
operator = SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12])
ansatz = TwoLocal(rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
optimizer = SPSA()
sampling_vqe = SamplingVQE(sampler, ansatz, optimizer)
Expand All @@ -64,7 +65,7 @@ def test_aer_sampling_vqe(self):
def test_vqe(self):
"""Test the execution of VQE with BackendEstimator."""
estimator = BackendEstimator(self.backend)
operator = PauliSumOp(SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12]))
operator = SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12])
ansatz = TwoLocal(rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
optimizer = SPSA()
sampling_vqe = VQE(estimator, ansatz, optimizer)
Expand All @@ -77,7 +78,7 @@ def test_vqe(self):
def test_aer_vqe(self):
"""Test the execution of VQE with Aer Estimator."""
estimator = Estimator(backend_options={"seed_simulator": 42})
operator = PauliSumOp(SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12]))
operator = SparsePauliOp(["ZZ", "IZ", "II"], coeffs=[1, -0.5, 0.12])
ansatz = TwoLocal(rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
optimizer = SPSA()
sampling_vqe = VQE(estimator, ansatz, optimizer)
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