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Bounds to electron spin qubit variability for scalable CMOS architectures

Author

Listed:
  • Jesús D. Cifuentes

    (University of New South Wales)

  • Tuomo Tanttu

    (University of New South Wales
    Diraq)

  • Will Gilbert

    (University of New South Wales
    Diraq)

  • Jonathan Y. Huang

    (University of New South Wales)

  • Ensar Vahapoglu

    (University of New South Wales
    Diraq)

  • Ross C. C. Leon

    (University of New South Wales)

  • Santiago Serrano

    (University of New South Wales)

  • Dennis Otter

    (University of New South Wales)

  • Daniel Dunmore

    (University of New South Wales)

  • Philip Y. Mai

    (University of New South Wales)

  • Frédéric Schlattner

    (University of New South Wales
    ETH Zurich)

  • MengKe Feng

    (University of New South Wales)

  • Kohei Itoh

    (Keio University)

  • Nikolay Abrosimov

    (Leibniz-Institut für Kristallzüchtung)

  • Hans-Joachim Pohl

    (VITCON Projectconsult GmbH)

  • Michael Thewalt

    (Simon Fraser University)

  • Arne Laucht

    (University of New South Wales
    Diraq)

  • Chih Hwan Yang

    (University of New South Wales
    Diraq)

  • Christopher C. Escott

    (University of New South Wales
    Diraq)

  • Wee Han Lim

    (University of New South Wales
    Diraq)

  • Fay E. Hudson

    (University of New South Wales
    Diraq)

  • Rajib Rahman

    (University of New South Wales)

  • Andrew S. Dzurak

    (University of New South Wales
    Diraq)

  • Andre Saraiva

    (University of New South Wales
    Diraq)

Abstract

Spins of electrons in silicon MOS quantum dots combine exquisite quantum properties and scalable fabrication. In the age of quantum technology, however, the metrics that crowned Si/SiO2 as the microelectronics standard need to be reassessed with respect to their impact upon qubit performance. We chart spin qubit variability due to the unavoidable atomic-scale roughness of the Si/SiO2 interface, compiling experiments across 12 devices, and develop theoretical tools to analyse these results. Atomistic tight binding and path integral Monte Carlo methods are adapted to describe fluctuations in devices with millions of atoms by directly analysing their wavefunctions and electron paths instead of their energy spectra. We correlate the effect of roughness with the variability in qubit position, deformation, valley splitting, valley phase, spin-orbit coupling and exchange coupling. These variabilities are found to be bounded, and they lie within the tolerances for scalable architectures for quantum computing as long as robust control methods are incorporated.

Suggested Citation

  • Jesús D. Cifuentes & Tuomo Tanttu & Will Gilbert & Jonathan Y. Huang & Ensar Vahapoglu & Ross C. C. Leon & Santiago Serrano & Dennis Otter & Daniel Dunmore & Philip Y. Mai & Frédéric Schlattner & Meng, 2024. "Bounds to electron spin qubit variability for scalable CMOS architectures," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48557-x
    DOI: 10.1038/s41467-024-48557-x
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    References listed on IDEAS

    as
    1. Akito Noiri & Kenta Takeda & Takashi Nakajima & Takashi Kobayashi & Amir Sammak & Giordano Scappucci & Seigo Tarucha, 2022. "Fast universal quantum gate above the fault-tolerance threshold in silicon," Nature, Nature, vol. 601(7893), pages 338-342, January.
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    5. M. Veldhorst & H. G. J. Eenink & C. H. Yang & A. S. Dzurak, 2017. "Silicon CMOS architecture for a spin-based quantum computer," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
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    Cited by:

    1. Ingvild Hansen & Amanda E. Seedhouse & Santiago Serrano & Andreas Nickl & MengKe Feng & Jonathan Y. Huang & Tuomo Tanttu & Nard Dumoulin Stuyck & Wee Han Lim & Fay E. Hudson & Kohei M. Itoh & Andre Sa, 2024. "Entangling gates on degenerate spin qubits dressed by a global field," Nature Communications, Nature, vol. 15(1), pages 1-7, December.

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