ApproximatingObjective

class qiskit.transpiler.synthesis.aqc.ApproximatingObjective[source]

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)[source]

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

Parameters:

param_values (ndarray) – a vector of parameter values for the optimization problem.

Returns:

an array of gradient values.

Return type:

ndarray

abstract objective(param_values)[source]

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

Parameters:

param_values (ndarray) – a vector of parameter values for the optimization problem.

Returns:

a float value of the objective function.

Return type:

SupportsFloat