ApproximatingObjective
class qiskit.synthesis.unitary.aqc.ApproximatingObjective
Bases: ABC(opens in a new tab)
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
gradient
abstract gradient(param_values)
Computes a gradient with respect to parameters given a vector of parameter values.
Parameters
param_values (ndarray(opens in a new tab)) – a vector of parameter values for the optimization problem.
Returns
an array of gradient values.
Return type
objective
abstract objective(param_values)
Computes a value of the objective function given a vector of parameter values.
Parameters
param_values (ndarray(opens in a new tab)) – a vector of parameter values for the optimization problem.
Returns
a float value of the objective function.
Return type