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Engineering fast bias-preserving gates on stabilized cat qubits

Xu, Qian and Iverson, Joseph K. and Brandão, Fernando G. S. L. and Jiang, Liang (2022) Engineering fast bias-preserving gates on stabilized cat qubits. Physical Review Research, 4 (1). Art. No. 013082. ISSN 2643-1564. doi:10.1103/PhysRevResearch.4.013082.

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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.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Xu, Qian0000-0002-8738-9420
Iverson, Joseph K.0000-0003-4665-8839
Brandão, Fernando G. S. L.0000-0003-3866-9378
Jiang, Liang0000-0002-0000-9342
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).
Group:AWS Center for Quantum Computing, Institute for Quantum Information and Matter
Funding AgencyGrant Number
Army Research Office (ARO)W911NF-18-1-0020
Army Research Office (ARO)W911NF-18-1-0212
Army Research Office (ARO)W911NF-16-1-0349
Air Force Office of Scientific Research (AFOSR)FA9550-19-1-0399
David and Lucile Packard Foundation2013-39273
Issue or Number:1
Record Number:CaltechAUTHORS:20211217-233248077
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:112548
Deposited By: George Porter
Deposited On:20 Dec 2021 16:13
Last Modified:02 Feb 2022 19:02

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