ApproximatingObjective#

class qiskit.transpiler.synthesis.aqc.ApproximatingObjective[código fonte]#

Bases: ABC

A base class for an optimization problem definition. An implementing class must provide at least an implementation of the objective method. In such case only gradient free optimizers can be used. Both method, objective and gradient, preferable to have in an implementation.

Attributes

num_thetas#: Returns: the number of parameters in this optimization problem.

target_matrix#: Returns: a matrix being approximated

Methods

abstract gradient(param_values)[código fonte]#

Computes a gradient with respect to parameters given a vector of parameter values.

Parâmetros:: param_values (ndarray) – a vector of parameter values for the optimization problem.
Retorno:: an array of gradient values.
Tipo de retorno:: ndarray

abstract objective(param_values)[código fonte]#

Computes a value of the objective function given a vector of parameter values.

Parâmetros:: param_values (ndarray) – a vector of parameter values for the optimization problem.
Retorno:: a float value of the objective function.
Tipo de retorno:: SupportsFloat