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Attempt to remedy random CI failures (backport #925) #938

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Merged
merged 1 commit into from
May 22, 2025
Merged

Attempt to remedy random CI failures (backport #925) #938

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11 changes: 8 additions & 3 deletions test/algorithms/inference/test_qbayesian.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# This code is part of a Qiskit project.
#
# (C) Copyright IBM 2023, 2024.
# (C) Copyright IBM 2023, 2025.
#
# 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 @@ -24,6 +24,7 @@
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager

from qiskit_ibm_runtime import Session, SamplerV2
from qiskit_ibm_runtime.options import SamplerOptions, SimulatorOptions

from qiskit_machine_learning.utils import algorithm_globals
from qiskit_machine_learning.algorithms import QBayesian
Expand Down Expand Up @@ -222,8 +223,12 @@ def test_trivial_circuit_V2(self):
seed=123,
)
session = Session(backend=backend)
_sampler = SamplerV2(mode=session)
pass_manager = generate_preset_pass_manager(optimization_level=0, backend=backend)
simopts = SimulatorOptions(seed_simulator=123)
samopts = SamplerOptions(simulator=simopts)
_sampler = SamplerV2(mode=session, options=samopts)
pass_manager = generate_preset_pass_manager(
optimization_level=0, backend=backend, seed_transpiler=123
)

# Define rotation angles
theta_a = 2 * np.arcsin(np.sqrt(0.2))
Expand Down
7 changes: 5 additions & 2 deletions test/gradients/test_estimator_gradient.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# This code is part of a Qiskit project.
#
# (C) Copyright IBM 2019, 2024.
# (C) Copyright IBM 2019, 2025.
#
# 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 Down Expand Up @@ -29,6 +29,7 @@
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager

from qiskit_ibm_runtime import Session, EstimatorV2
from qiskit_ibm_runtime.options import EstimatorOptions, SimulatorOptions

from qiskit_machine_learning.gradients import (
LinCombEstimatorGradient,
Expand Down Expand Up @@ -461,7 +462,9 @@ class TestEstimatorGradientV2(QiskitAlgorithmsTestCase):
def __init__(self, TestCase):
backend = GenericBackendV2(num_qubits=3, seed=123)
session = Session(backend=backend)
self.estimator = EstimatorV2(mode=session)
simopts = SimulatorOptions(seed_simulator=123)
estopts = EstimatorOptions(simulator=simopts)
self.estimator = EstimatorV2(mode=session, options=estopts)
self.pass_manager = generate_preset_pass_manager(optimization_level=1, backend=backend)
super().__init__(TestCase)

Expand Down