Regensburg 2019 – wissenschaftliches Programm
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TT: Fachverband Tiefe Temperaturen
TT 69: Cold Atomic Gases and Superfluids
TT 69.4: Vortrag
Freitag, 5. April 2019, 10:15–10:30, H23
New probes of the t-J model in quantum gas microscopes — •Annabelle Bohrdt1,2, Christie Chiu2, Geoffrey Ji2, Muqing Xu2, Daniel Greif2, Markus Greiner2, Eugene Demler2, Fabian Grusdt1,2, and Michael Knap1 — 1Department of Physics and Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany — 2Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
Quantum gas microscopes for ultracold atoms can provide high-resolution real-space snapshots of complex many-body systems. We implement machine learning to analyze and classify such snapshots of ultracold atoms. Specifically, we compare the data from an experimental realization of the two- dimensional Fermi-Hubbard model to two theoretical approaches: a doped quantum spin liquid state of resonating valence bond type, and the geometric string theory, describing a state with hidden spin order. This approach considers all available information without a potential bias towards one particular theory by the choice of an observable and can therefore select the theory which is more predictive in general. Up to intermediate doping values, our algorithm tends to classify experimental snapshots as geometric-string-like, as compared to the doped spin liquid. Our results demonstrate the potential for machine learning in processing the wealth of data obtained through quantum gas microscopy for new physical insights.