Observation of constructive interference at the edge of quantum ergodicity: Theory

ORAL

Abstract

Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, quantum observables generally become insensitive to the details of the underlying dynamics at long times due to the effects of scrambling. In experimental systems, repeated time-reversal protocols have been successfully implemented to restore sensitivities of quantum observables. Using a 103-qubit superconducting quantum processor, we characterize ergodic dynamics using the second-order out-of-time-order correlators, OTOC(2). In contrast to dynamics without time reversal, OTOC(2) are observed to remain sensitive to the underlying dynamics at long time scales. Furthermore, the OTOC(2) observable is dominated by constructive interference between Pauli strings that form large loops in configuration space. The observed interference mechanism endows OTOC(2) with a high degree of classical simulation complexity, which culminates in a set of large-scale OTOC(2) measurements exceeding the simulation capacity of known classical algorithms. Further supported by an example of Hamiltonian learning through OTOC(2), our results indicate a viable path to practical quantum advantage.

Publication: https://doi.org/10.1038/s41586-025-09526-6

Presenters

  • Philippe Suchsland

    • Google Quantum AI

Authors

  • Philippe Suchsland

    • Google Quantum AI
  • Amir H Karamlou

    • Google Quantum AI
  • Nikita Astrakhantsev

    • University of Zurich
    • Google Quantum AI
  • Vladislav Kurilovich

    • Google LLC
    • Google Quantum AI
  • Salvatore Mandra

    • Google Quantum AI
  • Tom E O'Brien

    • Google LLC
    • Google Quantum AI
    • Google
  • Brayden A Ware

    • Google Quantum AI
  • Benjamin Villalonga

    • Google LLC
    • Google Quantum AI
  • Igor Aleiner

    • Google Quantum AI
    • Google LLC
  • Yu Chen

    • Google LLC
    • Google Quantum AI
  • Pedram Roushan

    • Google LLC
    • Google Quantum AI
  • Michel H Devoret

    • Yale University
    • Google Quantum AI
  • Kechedzhi Kostyantyn

    • Google LLC
    • Google Quantum AI
  • Xiao Mi

    • Google LLC
    • Google Quantum AI
  • Vadim Smelyanskiy

    • Google LLC
    • Google Quantum AI
  • Sergio Boixo

    • Google LLC
    • Google Quantum AI