| dc.contributor.author | Layden, David | |
| dc.contributor.author | Huang, Louisa Ruixue | |
| dc.contributor.author | Cappellaro, Paola | |
| dc.date.accessioned | 2021-10-27T19:52:19Z | |
| dc.date.available | 2021-10-27T19:52:19Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://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.iso | en | |
| dc.publisher | IOP Publishing | |
| dc.relation.isversionof | 10.1088/2058-9565/AB79B2 | |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.source | arXiv | |
| dc.title | Robustness-optimized quantum error correction | |
| dc.type | Article | |
| dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.relation.journal | Quantum Science and Technology | |
| dc.eprint.version | Author's final manuscript | |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | |
| dc.date.updated | 2021-08-09T16:51:33Z | |
| dspace.orderedauthors | Layden, D; Huang, LR; Cappellaro, P | |
| dspace.date.submission | 2021-08-09T16:51:34Z | |
| mit.journal.volume | 5 | |
| mit.journal.issue | 2 | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | |