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Implementing the surface code using time-dynamic circuits (Part 1)

ORAL

Abstract

Quantum Error Correction (QEC) below the surface code threshold has been realized using repeated application of circuits that measure stabilizers. These circuits can be understood using the concept of detecting regions, which track stabilizers as they are deformed by the circuit. Recently, using these detecting regions for circuit design, new families of surface code circuits have been proposed that allow for tradeoffs in hardware, such as the use of iSWAP gates instead of CZ gates, the periodic exchange of data and measure qubits, and operation of the surface code on a hexagonal lattice. In the first part of this two-part talk, we introduce these circuits and discuss their realization on state-of-the-art superconducting hardware.

Presenters

  • Alec W Eickbusch

    Google Quantum AI

Authors

  • Alec W Eickbusch

    Google Quantum AI

  • Alexis Morvan

    Google LLC

  • Matthew J McEwen

    Google Quantum AI, Google LLC

  • Volodymyr Sivak

    Google Quantum AI

  • Charles J Neill

    Google Quantum AI, University of California, Santa Barbara

  • Pedram Roushan

    Google LLC

  • Yu Chen

    Google Quantum AI, Google LLC