Time-dependent variational principle for open quantum systems with artificial neural networks Descriptions of Open Quantum Systems (OQS) In a quantum mechanical description, the state of a system is either given by a wave function $\psi$ or the density matrix $\rho$.

We showcase different approaches to apply neural network techniques to quantum problems followed by members of the quantum many-body group.

We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representation of a mixed quantum state are adapted dynamically according to the …

We showcase the Time Dependent Variational Principle for Neural Network encoded density matrices & other results that were obtained in close collaboration with Markus Schmitt from Universitity of Cologne.