Deep Learning of Quantum Many-Body Dynamics via Random Driving
Deep Learning of Quantum Many-Body Dynamics via Random Driving
Neural networks have emerged as a powerful way to approach many practical problems in quantum physics. In this work, we illustrate the power of deep learning to predict the dynamics of a quantum many-body system, where the training is \textit{based purely on monitoring expectation values of observables under random driving}. …