Experimentally Probing Time-like Errors in Quantum Error Correction with Surface Code Stability Circuits (Part 2)

ORAL

Abstract

Fault-tolerant algorithms in Quantum Error Correction (QEC) rely on topological operations that involve two key tasks: maintaining logical observables over time, and transporting them through space. While memory experiments typically assess QEC's effectiveness by measuring the preservation of logical observables over time, a complementary approach, the stability experiment, evaluates the successful transfer of logical observables across space [Gidney 2022]. It's crucial to note that preserving logical observables across space has different susceptibilities to physical errors compared to preserving them in time. Specifically, stability experiments are more sensitive to error mechanisms that result in errors extending over multiple QEC cycles, which we term "time-like error chains." These mechanisms encompass device instabilities, leakage to non-computational states, and other time-correlated error sources.

This two-part presentation examines the performance of QEC stability experiments on Google Quantum AI's Willow processors, developing a thorough error model to interpret the results.  Part 2 will present the experimental data and offer a detailed error budget for the observed performance.

[Gidney 2022] C. Gidney. Stability Experiments: The Overlooked Dual of Memory Experiments. arXiv: 2204.13834

Presenters

  • Alec W Eickbusch

    • Google Quantum AI

Authors

  • Alec W Eickbusch

    • Google Quantum AI
  • Matt J McEwen

    • Google Quantum AI
  • Alexis Morvan

    • Google LLC
  • Nick Noll

    • Google Quantum AI
  • Volodymyr Sivak

    • Google Quantum AI
    • Google LLC
  • Juan Atalaya

    • Google LLC
    • Google Quantum AI
  • Nathan Lacroix

    • ETH Zurich
  • Michael Newman

    • Google LLC
  • Craig M Gidney

    • Google LLC