New preprint: Gradient-based optimal control of open quantum systems using quantum trajectories and automatic differentiation

In a recent arXiv preprint, we present a gradient-based optimal-control technique for open quantum systems that utilizes quantum trajectories to simulate the quantum dynamics during optimization. Using trajectories allows for optimizing open systems with less computational cost than the regular density matrix approaches in most realistic optimization problems. We introduce an improved-sampling algorithm which minimizes […]