A fully efficient time-parallelized quantum optimal control algorithm
arXiv:1603.01237 · doi:10.1103/PhysRevA.93.043410
Abstract
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.
Journal paper submitted to Physical Review A
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