1 code implementation • 20 Dec 2021 • Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim
Specifically, we apply Hybrid-CCNN to analyze new quantum phases on square lattices with programmable interactions.
1 code implementation • 16 Jul 2021 • Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik
We employ variational autoencoders to extract physical insight from a dataset of one-particle Anderson impurity model spectral functions.
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.