Machine learning discovery of new phases in programmable quantum simulator snapshots

Machine learning has recently emerged as a promising approach for studying complex phenomena characterized by rich datasets. In particular, data-centric approaches lead to the possibility of automatically discovering structures in experimental datasets that manual inspection may miss. Here, we intro...

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Detaylı Bibliyografya
Asıl Yazarlar: Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: American Physical Society 2023-01-01
Seri Bilgileri:Physical Review Research
Online Erişim:http://doi.org/10.1103/PhysRevResearch.5.013026