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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