no code implementations • 12 Apr 2023 • Henning Schlömer, Annabelle Bohrdt
Microscopically understanding and classifying phases of matter is at the heart of strongly-correlated quantum physics.
1 code implementation • 6 Nov 2020 • Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim
Machine learning models are a powerful theoretical tool for analyzing data from quantum simulators, in which results of experiments are sets of snapshots of many-body states.