A fully efficient time-parallelized quantum optimal control algorithm

TL;DR

This paper introduces a time-parallelization technique for quantum optimal control algorithms, significantly reducing computation time and demonstrating broad applicability across various quantum systems.

Contribution

It presents a nearly fully efficient time-parallelization method for quantum optimal control, enabling faster computations with multiple processors.

Findings

Computational time is approximately divided by the number of processors.

The method is effective for spin systems, molecular orientation, and Bose-Einstein condensates.

The approach is nearly fully efficient when using gradient-based optimization.

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.