Abstract

We propose an autonomous quantum error correction scheme using squeezed cat (SC) code against excitation loss in continuous-variable systems. Through reservoir engineering, we show that a structured dissipation can stabilize a two-component SC while autonomously correcting the errors. The implementation of such dissipation only requires low-order nonlinear couplings among three bosonic modes or between a bosonic mode and a qutrit. While our proposed scheme is device independent, it is readily implementable with current experimental platforms such as superconducting circuits and trapped-ion systems. Compared to the stabilized cat, the stabilized SC has a much lower dominant error rate and a significantly enhanced noise bias. Furthermore, the bias-preserving operations for the SC have much lower error rates. In combination, the stabilized SC leads to substantially better logical performance when concatenating with an outer discrete-variable code. The surface-SC scheme achieves more than one order of magnitude increase in the threshold ratio between the loss rate κ1 and the engineered dissipation rate κ2. Under a practical noise ratio κ1/κ2 = 10−3, the repetition-SC scheme can reach a 10−15 logical error rate even with a small mean excitation number of 4, which already suffices for practically useful quantum algorithms.

Details

Title
Autonomous quantum error correction and fault-tolerant quantum computation with squeezed cat qubits
Author
Xu, Qian 1   VIAFID ORCID Logo  ; Zheng, Guo 1   VIAFID ORCID Logo  ; Wang, Yu-Xin 1   VIAFID ORCID Logo  ; Zoller, Peter 2   VIAFID ORCID Logo  ; Clerk, Aashish A. 1   VIAFID ORCID Logo  ; Jiang, Liang 1   VIAFID ORCID Logo 

 The University of Chicago, Pritzker School of Molecular Engineering, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822) 
 University of Innsbruck, Institute for Theoretical Physics, Innsbruck, Austria (GRID:grid.5771.4) (ISNI:0000 0001 2151 8122); Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences, Innsbruck, Austria (GRID:grid.475467.3) (ISNI:0000 0004 0495 1428) 
Pages
78
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2845354195
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.