mirror of https://github.com/Qiskit/qiskit.git
38 lines
1.6 KiB
YAML
38 lines
1.6 KiB
YAML
---
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features:
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- |
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Add a new optimizer class,
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:class:`~qiskit.algorithms.optimizers.SciPyOptimizer`, to the
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:mod:`qiskit.algorithms.optimizers` module. This class is a simple wrapper class
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of the ``scipy.optimize.minimize`` function
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(`documentation <https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html>`__)
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which enables the use of all optimization solvers and all
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parameters (e.g. callback) which are supported by ``scipy.optimize.minimize``.
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For example:
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.. code-block:: python
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from qiskit.algorithms.optimizers import SciPyOptimizer
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values = []
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def callback(x):
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values.append(x)
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optimizer = SciPyOptimizer("BFGS", options={"maxiter": 1000}, callback=callback)
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deprecations:
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The kwargs ``epsilon`` and ``factr`` for the
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:class:`qiskit.algorithms.optimizers.L_BFGS_B` constructor
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and ``factr`` kwarg of the :class:`~qiskit.algorithms.optimizers.P_BFGS`
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optimizer class are deprecated and will be removed in a future release. Instead, please
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use the ``eps`` karg instead of ``epsilon``. The ``factr`` kwarg is
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replaced with ``ftol``. The relationship between the two is
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:code:`ftol = factr * numpy.finfo(float).eps`. This change was made
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to be consistent with the usage of the ``scipy.optimize.minimize``
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functions ``'L-BFGS-B'`` method. See the:
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``scipy.optimize.minimize(method='L-BFGS-B')``
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`documentation <https://docs.scipy.org/doc/scipy/reference/optimize.minimize-lbfgsb.html>`__
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for more information on how these new parameters are used.
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