Difference between revisions of "Ensemble.m"
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==Syntax== | ==Syntax== | ||
| − | [fidelity,gradient,hessian]=ensemble(waveform,spin_system) | + | |
| + | [traj_data,fidelity,gradient,hessian]=ensemble(waveform,spin_system) | ||
==Parameters== | ==Parameters== | ||
Revision as of 15:12, 5 June 2026
A parallel wrapper around GRAPE that enables ensemble optimal control optimisations. This function handles systems with multiple control power levels, multiple resonance offsets, multistate transfers, and ensembles of drift Liouvillians.
Syntax
[traj_data,fidelity,gradient,hessian]=ensemble(waveform,spin_system)
Parameters
waveform - control coefficients for each control operator, rad/s
Outputs
fidelity - figure of merit for the overlap of the current state
of the system and the desired state(s). When penalty
methods are specified, fidelity is returned as an ar-
ray separating the penalties from the simulation
fidelity.
gradient - gradient of the fidelity with respect to the control
sequence. When penalty methods are specified, gradi-
ent is returned as an array separating penalty gra-
dients from the fidelity gradient.
hessian - Hessian of the fidelity with respect to the control
sequence. When penalty methods are specified, gradi-
ent is returned as an array separating penalty Hes-
sians from the fidelity Hessian.
Notes
This is a low level function that is not designed to be called directly. Use grape_xy.m and grape_phase.m instead.
See also
Version 2.0, authors: Ilya Kuprov, David Goodwin