Lode Pollet – SPS Seminar

Seminar exploring the crossover of condensed matter physics and machine learning.

The Möller group received a visit of Prof Lode Pollet, Ludwig Maximilians Universität Munich, for discussion of novel computational approaches for the quantum many-body problem, including diagrammatic Monte-Carlo techniques and machine learning approaches. Lode gave a seminar on his tremendous success in applying machine learning to a system supporting multiple spin liquids, under the heading “Discerning multiple order parameters with interpretable machines”. The work employs techniques based on support vector machines.