DefaultCNOTUnitObjective
class DefaultCNOTUnitObjective(num_qubits, cnots)
Bases: qiskit.transpiler.synthesis.aqc.cnot_unit_objective.CNOTUnitObjective
A naive implementation of the objective function based on CNOT units.
Parameters
- num_qubits (
int) – number of qubits. - cnots (
ndarray) – a CNOT structure to be used in the optimization procedure.
Methods Defined Here
gradient
DefaultCNOTUnitObjective.gradient(param_values)
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.
Return type
ndarray
Returns
an array of gradient values.
objective
DefaultCNOTUnitObjective.objective(param_values)
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.
Return type
float
Returns
a float value of the objective function.
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
Return type
ndarray