We are interested in deploying machine learning methods to improve the understanding of quantum systems. Given a physical system in which a subsystem is embedded in a larger system, i.e. a bath, we used neural networks to learn the generator of the subsystem's dynamics. The network was trained with pre-simulated trajectories of Bloch vectors arising from different initial states.
