qrisp.cold.DCQOProblem.optimization_routine#

DCQOProblem.optimization_routine(qarg, N_opt, N_steps, T, qc, CRAB, optimizer, options, objective, bounds)[source]#

Subroutine for the optimization method used in COLD. The initial values are set and the optimization via is conducted here.

Parameters:

qargQuantumVariable: The argument to which the H_prob circuit is applied.
N_optint: Number of optimization parameters in H_control.
N_stepsint: Number of time steps for the simulation.
Tfloat: Evolution time for the simulation.
qcQuantumCircuit: The COLD circuit that is applied before measuring the qarg.
CRABbool, optional: If True, the CRAB optimization method is being used. The default is False.
optimizerstr: Specifies the SciPy optimization routine.
optionsdict: A dictionary of solver options.
objectivestr: The objective function to be minimized (exp_value, agp_coeff_magnitude, agp_coeff_amplitude). Default is exp_value.
boundstuple: The parameter bounds for the optimizer. Default is (-2, 2).

Returns: