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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
American Physical Society
2023-01-01
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| Serija: | Physical Review Research |
| Online dostop: | http://doi.org/10.1103/PhysRevResearch.5.013026 |