DefaultCNOTUnitObjective
qiskit.transpiler.synthesis.aqc.DefaultCNOTUnitObjective(num_qubits, cnots)
Bases: CNOTUnitObjective
A naive implementation of the objective function based on CNOT units.
Parameters
- num_qubits (int (opens in a new tab)) – 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
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
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
SupportsFloat (opens in a new tab)