131 citations · 818 across the 78 of their papers we have counts for
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cond-mat.str-el2020
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data
Cole Miles, Annabelle Bohrdt, Ruihan Wu +7
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. Recen…
cond-mat.str-el2020
Parton theory of ARPES spectra in anti-ferromagnetic Mott insulators
Annabelle Bohrdt, Eugene Demler, Frank Pollmann +2
Angle-resolved photoemission spectroscopy (ARPES) has revealed peculiar properties of mobile dopants in correlated anti-ferromagnets (AFMs). But describing them theoretically, even…