A scalable and fast artificial neural network syndrome decoder for surface codes
A scalable and fast artificial neural network syndrome decoder for surface codes
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of a syndrome decoding step where measured stabilizer operators are used to determine appropriate corrections for errors in physical qubits. Decoding algorithms ha...
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Full title
A scalable and fast artificial neural network syndrome decoder for surface codes
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TN_cdi_proquest_journals_2581624585
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2581624585
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2110.05854
