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Generative machine learning with tensor networks: benchmarks on near-term quantum computers

Generative machine learning with tensor networks: benchmarks on near-term quantum computers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449557278

Generative machine learning with tensor networks: benchmarks on near-term quantum computers

About this item

Full title

Generative machine learning with tensor networks: benchmarks on near-term quantum computers

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Noisy, intermediate-scale quantum (NISQ) computing devices have become an industrial reality in the last few years, and cloud-based interfaces to these devices are enabling exploration of near-term quantum computing on a range of problems. As NISQ devices are too noisy for many of the algorithms with a known quantum advantage, discovering impactful...

Alternative Titles

Full title

Generative machine learning with tensor networks: benchmarks on near-term quantum computers

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2449557278

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449557278

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2010.03641

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