Enhanced Decoding Against Coherent Errors in the Surface Code by Excited-State Encoding

ORAL

Abstract



We propose that encoding quantum information in excited states of the surface code can enhance the threshold against coherent errors. In particular, we consider the surface code under coherent errors that create electric anyon excitations. We show that a random background of magnetic fluxes reduce the ability of coherent errors in creating far-separated excitations, thus improving the decoding fidelity. Specifically, in the statistical mechanics model that governs the maximum-likelihood decoder, the improved fidelity stems from the interactions induced by the random flux background that favor the decodable phase. We corroborate our arguments with numerical simulations which demonstrate an improved decoding fidelity within the decodable phase, as well as an increased threshold for coherent errors.


Presenters

  • Stephen W Yan

    • UC Santa Barbara

Authors

  • Stephen W Yan

    • UC Santa Barbara
  • Yimu Bao

    • University of California, Berkeley
    • Kavli Institute of Theoretical Physics
    • Kavli Institute for Theoretical Physics, Santa Barbara
  • Sagar Vijay

    • University of California, Santa Barbara
    • Department of Physics, University of California, Santa Barbara