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Benchmarking quantum operations on a high-dimensional nuclear spin qudit in silicon

ORAL

Abstract

High-dimensional nuclear spin facilitates efficient, compact, and robust schemes for logical encoding and fault-tolerant quantum computation [1,2]. Recent work demonstrated the preparation of Schrödinger cat states in 𝐼 = 7/2 123Sb donors in silicon, as well as single logical qubit gates by SU(2) operations [3]. However, quantifying error rates for these logical gates in a 𝑑 = 8 Hilbert space remains a challenge. Conventional randomized benchmarking (RB), typically applied to Clifford group, is unsuitable because SU(2) operations in high-spin nucleus do not twirl noise into a uniform depolarization channel. Instead, they generate 8 distinct error classes, resulting in the return probability of the RB sequence that follows a mixture of exponential decays. In this work, we introduce synthetic-SPAM RB, a novel RB variant for SU(2) operations in high-spin nuclei, capable of isolating distinct error classes, each characterized by a single exponential decay. Using this method, we report a no-error rate of 0.975(1) for random SU(2) operations for a single 123Sb donor, highlighting the potential of silicon-based high-spin donor systems for quantum error correction and fault-tolerant computation.

[1] J. A. Gross, Physical Review Letters 127(1) 010504 (2021)

[2] J. A. Gross et al., Physical Review Applied 22, 014006 558(2024)

[3] X. Yu et al., arXiv:2405.15494 (2024)

Presenters

  • Xi Yu

    University of New South Wales

Authors

  • Xi Yu

    University of New South Wales

  • Rocky Y Su

    University of New South Wales

  • Danielle Holmes

    University of New South Wales, University of Melbourne

  • Martin Nurizzo

    UNSW

  • Arjen Vaartjes

    University of New South Wales

  • Benjamin Wilhelm

    University of New South Wales

  • Yale Fan

    Sandia National Laboratories

  • Riley M Murray

    University of Utah

  • Thaddeus D Ladd

    HRL Laboratories LLC

  • Kevin Young

    Sandia National Laboratories

  • Robin J Blume-Kohout

    Sandia National Laboratories

  • Andrea Morello

    University of New South Wales