qiskit.algorithms.optimizers.SPSA.optimize

SPSA.optimize(num_vars, objective_function, gradient_function=None, variable_bounds=None, initial_point=None)

Perform optimization.

Veraltet ab Version 0.21.0: The method qiskit.algorithms.optimizers.spsa.SPSA.optimize() is deprecated as of qiskit-terra 0.21.0. It will be removed no earlier than 3 months after the release date. Instead, use SPSA.minimize as a replacement, which supports the same arguments but follows the interface of scipy.optimize and returns a complete result object containing additional information.

Parameter

• num_vars (int) – Number of parameters to be optimized.

• objective_function (callable) – A function that computes the objective function.

• gradient_function (callable) – Not supported for SPSA.

• variable_bounds (list[(float, float)]) – Not supported for SPSA.

• initial_point (numpy.ndarray[float]) – Initial point.

Rückgabe

point, value, nfev

point: is a 1D numpy.ndarray[float] containing the solution value: is a float with the objective function value nfev: number of objective function calls made if available or None

Rückgabetyp

tuple