DefaultCNOTUnitObjective¶

class qiskit.transpiler.synthesis.aqc.DefaultCNOTUnitObjective(num_qubits, cnots)[source]¶

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

Parameters:

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.

Methods

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

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

Qiskit