Regensburg 2022 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 43: Poster Session: Quantum Chaos and Many-Body Dynamics

DY 43.7: Poster

Thursday, September 8, 2022, 15:00–18:00, P2

Nonequilibrium dynamics in quantum spin systems with neural quantum states — •Damian Hofmann¹, Giammarco Fabiani², Johan Mentink², Giuseppe Carleo³, Martin Claassen⁴, and Michael Sentef¹ — ¹Max Planck Institute for the Structure and Dynamics of Matter, Center for Free-Electron Laser Science (CFEL), Luruper Chaussee 149, 22761 Hamburg, Gemany — ²Radboud University, Institute for Molecules and Materials, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands — ³Institute of Physics, École polytechnique fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland — ⁴Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA

Neural quantum states (NQS) are a variational ansatz in which a neural network is used to parametrize the quantum state of a many-body system. NQS-based methods can be applied to learning both ground states and dynamics of quantum many-body systems by optimizing the network weights as variational parameters. In this poster, we present our current efforts in applying NQS methods to simulating strongly correlated quantum systems in and out of equilibrium. In particular, we highlight our recent work on understanding the stability properties of time-evolution algorithms for NQS based on the time-dependent variational Monte Carlo method (Hofmann et al., SciPost Phys. 12, 2022). Furthermore, we will present our ongoing research into the application of NQS to learning states in quantum spin liquid systems.