Machine-Learning-Based Sampling in Lattice Field Theory and Quantum Chemistry


The application of generative machine-learning models for sampling Boltzmann distributions has first been proposed in the context of quantum chemistry, and has later been successfully applied in lattice quantum field theory. Both research fields have quickly and independently progressed during the last years. With this workshop, we aim to bring together researchers from both communities, in order to foster exchange on common challenges and opportunities.

Oct 21, 2024 2:00 PM — Oct 25, 2024 8:00 PM
Bethe Center for Theoretical Physics
Wegelerstrasse 10, Bonn, NRW 53115

This NuMeriQS workshop is co-organised by the TRA Matter. More details and the possiblity to register can be found on the workshop indico page.

Lena Funcke
Lena Funcke
Junior Professor of Theoretical Physics