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.
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Presenters
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Oles Shtanko
IBM Quantum, University of Maryland, College Park
Authors
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Oles Shtanko
IBM Quantum, University of Maryland, College Park
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Yu-Jie Liu
TU Munich, Technical University of Munich
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Simon Lieu
National Institute of Standards and Tech
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Victor V Albert
QuICS @ NIST & UMD, NIST, QuICS @ NIST & UMD College Park
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Alexey V Gorshkov
JQI, Joint Center for Quantum Information and Computer Science, Joint Quantum Institute, NIST/University of Maryland, College Park, MD