Reducing the error rate of a superconducting logical qubit using analog readout information

Ali, H. orcid.org/0000-0002-7454-0910, Marques, J. orcid.org/0000-0001-9939-051X, Crawford, O. et al. (7 more authors) (2024) Reducing the error rate of a superconducting logical qubit using analog readout information. Physical Review Applied, 22 (4). 044031. ISSN 2331-7043

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Item Type: Article
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© 2024. Published by the American Physical Society under the terms of the Creative CommonsAttribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. https://creativecommons.org/licenses/by/4.0/

Keywords: Artificial neural networks; Optoelectronics; Quantum circuits; Quantum error correction; Quantum information with solid state qubits
Dates:
  • Published: October 2024
  • Published (online): 11 October 2024
  • Accepted: 6 September 2024
  • Submitted: 20 March 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Depositing User: Symplectic Sheffield
Date Deposited: 13 Nov 2024 14:44
Last Modified: 13 Nov 2024 14:44
Status: Published
Publisher: American Physical Society (APS)
Refereed: Yes
Identification Number: 10.1103/physrevapplied.22.044031
Open Archives Initiative ID (OAI ID):

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