Differentiable Programming Tensor Networks
Differentiable Programming Tensor Networks
About this item
Full title
Author / Creator
Liao, Hai-Jun , Liu, Jin-Guo , Wang, Lei and Xiang, Tao
Publisher
College Park: American Physical Society
Journal title
Language
English
Formats
Publication information
Publisher
College Park: American Physical Society
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Scope and Contents
Contents
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and optimizes them using gradient search. The concept emerges from deep learning but is not limited to training neural networks. We present the theory and practice of programming tensor network algorithms in a fully differentiable way. By...
Alternative Titles
Full title
Differentiable Programming Tensor Networks
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ddc7560ee545467ca47ac8ed964d2a53
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ddc7560ee545467ca47ac8ed964d2a53
Other Identifiers
ISSN
2160-3308
E-ISSN
2160-3308
DOI
10.1103/PhysRevX.9.031041
