Autonomous Global Decoders for Quantum Memories

ORAL

Abstract

Autonomous quantum memories provide passive protection of quantum information using engineered dissipation that yields an ``always-on" decoder. We consider a simple theoretical model of universal global autonomous decoders that can be constructed from a wide family of quantum codes. We prove bounds on the logical error rate as a function of the rates of correction and noise. We find that such a model typically require correction rates that scale polynomially with system size to achieve exponential suppression of logical errors. We apply our results to existing quantum codes codes, including the five-qubit code, the toric code, and the binomial code.

Presenters

  • Oles Shtanko

    • IBM Quantum
    • University of Maryland, College Park

Authors

  • Oles Shtanko

    • IBM Quantum
    • University of Maryland, College Park
  • Yu-Jie Liu

    • TU Munich
    • Technical University of Munich
  • Simon Lieu

    • National Institute of Standards and Tech
  • Victor V Albert

    • QuICS @ NIST & UMD
    • NIST
    • QuICS @ NIST & UMD College Park
  • Alexey V Gorshkov

    • JQI
    • Joint Center for Quantum Information and Computer Science, Joint Quantum Institute, NIST/University of Maryland, College Park, MD