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Neural networks for quantum inverse problems

Neural networks for quantum inverse problems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_27df921d3fc249d78f28bbe1420d1ab8

Neural networks for quantum inverse problems

About this item

Full title

Neural networks for quantum inverse problems

Publisher

Bristol: IOP Publishing

Journal title

New journal of physics, 2022-06, Vol.24 (6), p.63002

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

Quantum inverse problem (QIP) is the problem of estimating an unknown quantum system from a set of measurements, whereas the classical counterpart is the inverse problem of estimating a distribution from a set of observations. In this paper, we present a neural-network-based method for QIPs, which has been widely explored for its classical counterp...

Alternative Titles

Full title

Neural networks for quantum inverse problems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_27df921d3fc249d78f28bbe1420d1ab8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_27df921d3fc249d78f28bbe1420d1ab8

Other Identifiers

ISSN

1367-2630

E-ISSN

1367-2630

DOI

10.1088/1367-2630/ac706c

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