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In this work, we show how two dimensionality reduction techniques, multidimensional scaling and intrinsic dimension estimation, can be used to learn structural properties of dynamics in the PXP model and distinguish between thermal and scar initial states. The latter method is shown to be robust against limited sample sizes and experimental measurement errors.<\/jats:p>","DOI":"10.1088\/2632-2153\/ad4d3f","type":"journal-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T22:41:01Z","timestamp":1715985661000},"page":"025049","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Unsupervised learning of quantum many-body scars using intrinsic dimension"],"prefix":"10.1088","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1882-0328","authenticated-orcid":true,"given":"Harvey","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6763-6060","authenticated-orcid":false,"given":"Dimitris G","family":"Angelakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8588-9886","authenticated-orcid":true,"given":"Daniel","family":"Leykam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"key":"mlstad4d3fbib1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6633\/aac9f1","volume":"81","author":"Deutsch","year":"2018","journal-title":"Rep. 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