mirror of https://github.com/Qiskit/qiskit.git
28 lines
1.1 KiB
YAML
28 lines
1.1 KiB
YAML
---
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features:
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- |
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The :class:`~qiskit.algorithms.optimizers.SPSA` and
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:class:`~qiskit.algorithms.optimizers.QNSPSA` optimizer classes are now
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capable of batching as many circuit evaluations as possible for both the
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iterations and the initial calibrations. This can be leveraged by setting
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the ``max_evals_grouped`` kwarg on the constructor for
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:class:`~qiskit.algorithms.VQE` when using either
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:class:`~qiskit.algorithms.optimizers.SPSA` or
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:class:`~qiskit.algorithms.optimizers.QNSPSA` as the ``optimizer`` parameter.
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For example::
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from qiskit.circuit.library import TwoLocal
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from qiskit.algorithms import VQE
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from qiskit.algorithms.optimizers import QNSPSA
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from qiskit.test.mock import FakeMontreal
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backend = FakeMontreal()
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ansatz = TwoLocal(2, rotation_blocks=["ry", "rz"], entanglement_blocks="cz")
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qnspsa = QNSPSA(fidelity, maxiter=5)
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vqe = VQE(
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ansatz=ansatz,
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optimizer=qnspsa,
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max_evals_grouped=100,
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quantum_instance=backend,
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)
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