Ensemble.m

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

Parameters

  waveform  - control coefficients for each control operator, rad/s

Outputs

traj_data - trajectory data for subsequent diagnostic plotting

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 array separating the
           penalties from the simulation fidelity

gradient  - gradient of the fidelity with respect to the control sequence.
           When penalty methods are specified, gradient is returned as an
           array separating penalty gradients from the fidelity gradient

hessian   - Hessian of the fidelity with respect to the control sequence.
           When penalty methods are specified, hessian is returned as an
           array separating penalty Hessians 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

grape_xy.m, grape_phase.m, alpha_conds.m, aux_mat.m, bfgs.m, cubic_interp.m, dirdiff.m, drifts.m, hess_reorder.m, objeval.m, optimcon.m, trapdiff.m, Optimal control module

Version 2.0, authors: Ilya Kuprov, David Goodwin