Cycle Error Reconstruction on Trapped Ion Quantum Computer

ORAL

Abstract

Cycle Error Reconstruction provides an efficient and scalable way to learn the details of the noise profile on our quantum system. However computing the joint probability distribution of all the possible pauli errors becomes intractable with the increase in the system size and requires an exponential number of experiments. Here we show how we can efficiently reconstruct the joint probability distribution of all the possible pauli errors on a 14 qubits ion trap device using the idea of Gibbs Random Field. We also discuss the implication this has on fault tolerance.

*We gratefully acknowledge support by the European Union’s Horizon Europe research and innovation program under Grant Agreement Number 101114305 (“MILLENION-SGA1” EU Project), the US Army Research Office through Grant Number W911NF-21-1-0007, the Austrian Science Fund (FWF Grant-DOI 10.55776/F71) (SFB BeyondC), the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), under the Entangled Logical Qubits program through Cooperative Agreement Number W911NF-23-2-0216.The Innsbruck team further received support from the IQI GmbH.

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Publication: The preprint should be available early 2025.

Presenters

  • Joseph Emerson

    • Perimeter Inst for Theo Phys
    • University of Waterloo

Authors

  • Debankan Sannamoth

    • University of Waterloo

  • Joseph Emerson

    • Perimeter Inst for Theo Phys
    • University of Waterloo

  • Nicholas Fazio

    • University of Sydney

  • Robert Freund

    • University of Innsbruck

  • Christian D Marciniak

    • University of Innsbruck

  • Thomas Monz

    • University of Innsbruck

  • Robin Harper

    • University of Sydney

  • Stephen D Bartlett

    • University of Sydney

  • Alex Steiner

    • University of Innsbruck

  • Manuel Rispler

    • RWTH Aachen University,