T. Meunier, L. Hutin, B. Bertrand, Y. Thonnart, G. Pillonnet, G. Billiot, H. Jacquinot, M. Cassé, S. Barraud, Y.-J. Kim, V. Mazzocchi, A. Amisse, H. Bohuslavskyi, L. Bourdet, A. Crippa, X. Jehl, R. Maurand, Y. Niquet, M. Sanquer, B. Venitucci, B. Jadot, E. Chanrion, P. Mortemousque, C. Spence, M. Urdampilleta, S. de Franceschi, M. Vinet
{"title":"Towards scalable quantum computing based on silicon spin","authors":"T. Meunier, L. Hutin, B. Bertrand, Y. Thonnart, G. Pillonnet, G. Billiot, H. Jacquinot, M. Cassé, S. Barraud, Y.-J. Kim, V. Mazzocchi, A. Amisse, H. Bohuslavskyi, L. Bourdet, A. Crippa, X. Jehl, R. Maurand, Y. Niquet, M. Sanquer, B. Venitucci, B. Jadot, E. Chanrion, P. Mortemousque, C. Spence, M. Urdampilleta, S. de Franceschi, M. Vinet","doi":"10.23919/VLSIT.2019.8776562","DOIUrl":null,"url":null,"abstract":"Quantum computing (QC) is expected to extend the high performance computing roadmap [1]–[2] at the condition to be able to run a large number of errorless quantum operations, typically. over a billion. It is out of reach in actual physical systems because of the quantum decoherence. As a consequence, quantum error correction techniques, which utilize the idea of redundant encoding, have been introduced to cure for the errors [3]–[5]. In state-of-the-art codes, with error thresholds or fidelities around 10−2 in Si spin qubits, it is expected that logical qubits will be made out of a few thousands or more of physical qubits [6], bringing the number of required physical qubits to perform relevant quantum calculations to at least a million.","PeriodicalId":6752,"journal":{"name":"2019 Symposium on VLSI Technology","volume":"89 1","pages":"T30-T31"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Symposium on VLSI Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSIT.2019.8776562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Quantum computing (QC) is expected to extend the high performance computing roadmap [1]–[2] at the condition to be able to run a large number of errorless quantum operations, typically. over a billion. It is out of reach in actual physical systems because of the quantum decoherence. As a consequence, quantum error correction techniques, which utilize the idea of redundant encoding, have been introduced to cure for the errors [3]–[5]. In state-of-the-art codes, with error thresholds or fidelities around 10−2 in Si spin qubits, it is expected that logical qubits will be made out of a few thousands or more of physical qubits [6], bringing the number of required physical qubits to perform relevant quantum calculations to at least a million.