We present a time-parallelization method that enables to accelerate the computation of quantum optimal control algorithms. We show that this approach is approximately fully efficient when based on a gradient method as optimization solver: the computational time is approximately divided by the number of available processors. The control of spin systems, molecular orientation and Bose-Einstein condensates are used as illustrative examples to highlight the wide range of application of this numerical scheme.
@article{arxiv.1603.01237,
title = {A fully efficient time-parallelized quantum optimal control algorithm},
author = {Mohamed-Kamel Riahi and Julien Salomon and S. J. Glaser and D Sugny},
journal= {arXiv preprint arXiv:1603.01237},
year = {2016}
}