Decoding quantum field theory with machine learning
Decoding quantum field theory with machine learning
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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A
bstract
We demonstrate how one can use machine learning techniques to bypass the technical difficulties of designing an experiment and translating its outcomes into concrete claims about fundamental features of quantum fields. In practice, all measurements of quantum fields are carried out through local probes. Despite measuring only a smal...
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Full title
Decoding quantum field theory with machine learning
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TN_cdi_doaj_primary_oai_doaj_org_article_2fd81efb4d844bc7b8583512f20ac8ee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2fd81efb4d844bc7b8583512f20ac8ee
Other Identifiers
ISSN
1029-8479
E-ISSN
1029-8479
DOI
10.1007/JHEP08(2023)031
