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Published February 2022 | Submitted + Published
Journal Article Open

Engineering fast bias-preserving gates on stabilized cat qubits

Abstract

Stabilized cat codes can provide a biased noise channel with a set of bias-preserving (BP) gates, which can significantly reduce the resource overhead for fault-tolerant quantum computing. All existing schemes of BP gates, however, require adiabatic quantum evolution, with performance limited by excitation loss and nonadiabatic errors during the adiabatic gates. In this paper, we apply a derivative-based leakage-suppression technique to overcome nonadiabatic errors, so that we can implement fast BP gates on Kerr-cat qubits with improved gate fidelity while maintaining high noise bias. When applied to concatenated quantum error correction, the fast BP gates not only can improve the logical error rate but also can reduce resource overhead, which enables more efficient implementation of fault-tolerant quantum computing.

Additional Information

© 2022 Published by the American Physical Society under the terms of the Creative Commons Attribution 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. Received 18 May 2021; revised 29 November 2021; accepted 5 January 2022; published 2 February 2022. We thank Aashish Clerk, Kyungjoo Noh, Shruti Puri, Harry Putterman, and Hugo Ribeiro for helpful discussions. We also thank Christopher Chamberland for useful comments and suggestions on the concatenated quantum error correction. The authors are also grateful for the support of the University of Chicago Research Computing Center for assistance with the numerical simulations carried out in this paper. We acknowledge support from the ARO (Grants No. W911NF-18-1-0020 and No. W911NF-18-1-0212), the ARO MURI (Grant No. W911NF-16-1-0349), the AFOSR MURI (Grant No. FA9550-19-1-0399), the NSF (Grants No. EFMA-1640959, No. OMA-1936118, and No. EEC-1941583), NTT Research, and the Packard Foundation (Grant No. 2013-39273).

Attached Files

Published - PhysRevResearch.4.013082.pdf

Submitted - 2105.13908.pdf

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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023