krotov.result module¶

for each iteration, a list of complex overlaps between the target state and the forward-propagated state for each objective, assuming Objective.target contains the target state. If there is no target state, an empty list.

Type: list[list[complex]

guess_controls¶

List of the guess controls in array format

Type: list[numpy.ndarray]

optimized_controls¶

List of the optimized control fields, in the order corresponding to guess_controls

Type: list[numpy.ndarray]

controls_mapping¶

A nested list that indicates where in objectives the guess_controls and optimized_controls are used (as returned by extract_controls_mapping())

Type: list

all_pulses¶

If the optimization was performed with store_all_pulses=True, for each iteration, a list of the optimized pulses (in the order corresponding to guess_controls). These pulses are defined at midpoints of the tlist intervals. Empty list if store_all_pulses=False

Type: list

states¶

for each objective, a list of states for each value in tlist, obtained from propagation under the final optimized control fields.

Type: list[list[qutip.Qobj]]

start_local_time¶

Time stamp of when the optimization started

Type: time.struct_time

end_local_time¶

Time stamp of when the optimization ended

Type: time.struct_time

message¶

Description of why optimize_pulses() completed, E.g, “Reached 1000 iterations”

Type: str

time_fmt = '%Y-%m-%d %H:%M:%S'¶: Format used in start_local_time_str and end_local_time_str

property start_local_time_str¶: The start_local_time attribute formatted as a string

property end_local_time_str¶: The end_local_time attribute formatted as a string

property optimized_objectives¶

A copy of the objectives with the optimized_controls plugged in.

Type: list[Objective]

objectives_with_controls(controls)[source]¶

List of objectives with the given controls plugged in.

Parameters: controls (list[numpy.ndarray]) – A list of control fields, defined on the points of tlist. Must be of the same length as guess_controls and optimized_controls.
Returns: A copy of objectives, where all control fields are replaced by the elements of the controls.
Return type: list[Objective]
Raises: ValueError – If controls does not have the same number controls as guess_controls and optimized_controls, or if any controls are not defined on the points of the time grid.