DefaultCNOTUnitObjective

class qiskit.transpiler.synthesis.aqc.DefaultCNOTUnitObjective(num_qubits, cnots)

Bases: CNOTUnitObjective

A naive implementation of the objective function based on CNOT units.

Parâmetros:

• num_qubits (int) – number of qubits.

• cnots (np.ndarray) – a CNOT structure to be used in the optimization procedure.

Attributes

num_cnots

Returns: A number of CNOT units to be used by the approximate circuit.

num_thetas

Returns: Number of parameters (angles) of rotation gates in this circuit.

target_matrix

Returns: a matrix being approximated

Methods

gradient(param_values)

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

objective(param_values)

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