dc.contributor.author | Morvan, A | |
dc.contributor.author | Ramasesh, VV | |
dc.contributor.author | Blok, MS | |
dc.contributor.author | Kreikebaum, JM | |
dc.contributor.author | O’Brien, K | |
dc.contributor.author | Chen, L | |
dc.contributor.author | Mitchell, BK | |
dc.contributor.author | Naik, RK | |
dc.contributor.author | Santiago, DI | |
dc.contributor.author | Siddiqi, I | |
dc.date.accessioned | 2022-07-18T15:37:03Z | |
dc.date.available | 2022-07-18T15:37:03Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/143809 | |
dc.description.abstract | Ternary 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.iso | en | |
dc.publisher | American Physical Society (APS) | en_US |
dc.relation.isversionof | 10.1103/PHYSREVLETT.126.210504 | en_US |
dc.rights | Article 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.source | APS | en_US |
dc.title | Qutrit Randomized Benchmarking | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Morvan, A, Ramasesh, VV, Blok, MS, Kreikebaum, JM, O’Brien, K et al. 2021. "Qutrit Randomized Benchmarking." Physical Review Letters, 126 (21). | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.relation.journal | Physical Review Letters | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-07-18T15:30:39Z | |
dspace.orderedauthors | Morvan, A; Ramasesh, VV; Blok, MS; Kreikebaum, JM; O’Brien, K; Chen, L; Mitchell, BK; Naik, RK; Santiago, DI; Siddiqi, I | en_US |
dspace.date.submission | 2022-07-18T15:30:40Z | |
mit.journal.volume | 126 | en_US |
mit.journal.issue | 21 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |