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Thermalization and Criticality on an Analog-Digital Quantum Simulator, Part 2: benchmarking

ORAL

Abstract



Achieving quantum simulations of complex physical phenomena that are intractable for classical computers is a major milestone in quantum computing. We demonstrate such a regime by studying the analog time-evolution of a 2D XY spin model implemented on a 69-qubit quantum processor. To accurately benchmark this evolution, we introduce a novel and scalable calibration technique specifically designed for analog quantum simulation. Our experiments, validated by cross-entropy benchmarking at systems up to 35 qubits, exhibit error rates under 0.1% per qubit per cycle, rapid entanglement saturation and convergence to a robust Porter-Thomas bitstring distribution.

The combination of fast dynamics and low error rates results in a very pure and entangled state quantified by the maximum reached mixed-state entanglement entropy. This combination ensures high computational complexity even using state-of-the-art classical techniques.

Publication: https://arxiv.org/abs/2405.17385

Presenters

  • Nikita Astrakhantsev

    Google Quantum AI

Authors

  • Nikita Astrakhantsev

    Google Quantum AI

  • Trond Ikdahl Andersen

    Google LLC

  • Amir H Karamlou

    Google Quantum AI

  • Aaron M S Szasz

    Google LLC

  • Julia Berndtsson

    Google Quantum AI

  • Johannes Motruk

    University of Geneva

  • Jonathan A Gross

    Google LLC

  • Tom Westerhout

    Radboud University

  • Alexander Schuckert

    University of Maryland College Park

  • Xiao Mi

    Google LLC

  • Dmitry Abanin

    Google LLC

  • Guifre Vidal Bonafont

    Google LLC

  • Pedram Roushan

    Google LLC

  • Andreas M Laeuchli

    Univ of Innsbruck