npj Quantum Information (Aug 2023)

Autonomous quantum error correction and fault-tolerant quantum computation with squeezed cat qubits

  • Qian Xu,
  • Guo Zheng,
  • Yu-Xin Wang,
  • Peter Zoller,
  • Aashish A. Clerk,
  • Liang Jiang

DOI
https://doi.org/10.1038/s41534-023-00746-0
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 11

Abstract

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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 κ 1 and the engineered dissipation rate κ 2. Under a practical noise ratio κ 1/κ 2 = 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.