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dc.contributor.authorLayden, David
dc.contributor.authorHuang, Louisa Ruixue
dc.contributor.authorCappellaro, Paola
dc.date.accessioned2021-10-27T19:52:19Z
dc.date.available2021-10-27T19:52:19Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133357
dc.description.abstract© 2020 IOP Publishing Ltd. Quantum error correction (QEC) codes are usually designed to correct errors regardless of their physical origins. In large-scale devices, this is an essential feature. In smaller-scale devices, however, the main error sources are often understood, and this knowledge could be exploited for more efficient error correction. Optimizing the QEC protocol is therefore a promising strategy in smaller devices. Typically, this involves tailoring the protocol to a given decoherence channel by solving an appropriate optimization problem. Here we introduce a new optimization-based approach, which maximizes the robustness to faults in the recovery. Our approach is inspired by recent experiments, where such faults have been a significant source of logical errors. We illustrate this approach with a three-qubit model, and show how near-term experiments could benefit from more robust QEC protocols.
dc.language.isoen
dc.publisherIOP Publishing
dc.relation.isversionof10.1088/2058-9565/AB79B2
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcearXiv
dc.titleRobustness-optimized quantum error correction
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalQuantum Science and Technology
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-08-09T16:51:33Z
dspace.orderedauthorsLayden, D; Huang, LR; Cappellaro, P
dspace.date.submission2021-08-09T16:51:34Z
mit.journal.volume5
mit.journal.issue2
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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