DefaultCNOTUnitObjective¶

class DefaultCNOTUnitObjective(num_qubits, cnots)[fuente]¶

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

Parámetros

num_qubits (int) – number of qubits.
cnots (ndarray) – a CNOT structure to be used in the optimization procedure.

Methods Defined Here

`gradient`	Computes a gradient with respect to parameters given a vector of parameter values.
`objective`	Computes a value of the objective function given a vector of parameter values.

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