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dc.contributor.authorMorvan, A
dc.contributor.authorRamasesh, VV
dc.contributor.authorBlok, MS
dc.contributor.authorKreikebaum, JM
dc.contributor.authorO’Brien, K
dc.contributor.authorChen, L
dc.contributor.authorMitchell, BK
dc.contributor.authorNaik, RK
dc.contributor.authorSantiago, DI
dc.contributor.authorSiddiqi, I
dc.date.accessioned2022-07-18T15:37:03Z
dc.date.available2022-07-18T15:37:03Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143809
dc.description.abstractTernary quantum processors offer significant potential computational advantages over conventional qubit technologies, leveraging the encoding and processing of quantum information in qutrits (three-level systems). To evaluate and compare the performance of such emerging quantum hardware it is essential to have robust benchmarking methods suitable for a higher-dimensional Hilbert space. We demonstrate extensions of industry standard randomized benchmarking (RB) protocols, developed and used extensively for qubits, suitable for ternary quantum logic. Using a superconducting five-qutrit processor, we find an average single-qutrit process infidelity of 3.8×10^{-3}. Through interleaved RB, we characterize a few relevant gates, and employ simultaneous RB to fully characterize crosstalk errors. Finally, we apply cycle benchmarking to a two-qutrit CSUM gate and obtain a two-qutrit process fidelity of 0.85. Our results present and demonstrate RB-based tools to characterize the performance of a qutrit processor, and a general approach to diagnose control errors in future qudit hardware.en_US
dc.language.isoen
dc.publisherAmerican Physical Society (APS)en_US
dc.relation.isversionof10.1103/PHYSREVLETT.126.210504en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAPSen_US
dc.titleQutrit Randomized Benchmarkingen_US
dc.typeArticleen_US
dc.identifier.citationMorvan, A, Ramasesh, VV, Blok, MS, Kreikebaum, JM, O’Brien, K et al. 2021. "Qutrit Randomized Benchmarking." Physical Review Letters, 126 (21).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalPhysical Review Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-18T15:30:39Z
dspace.orderedauthorsMorvan, A; Ramasesh, VV; Blok, MS; Kreikebaum, JM; O’Brien, K; Chen, L; Mitchell, BK; Naik, RK; Santiago, DI; Siddiqi, Ien_US
dspace.date.submission2022-07-18T15:30:40Z
mit.journal.volume126en_US
mit.journal.issue21en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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