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Precision tomography of a three-qubit electron-nuclear quantum processor in silicon

ORAL · Invited

Abstract

Nuclear spins were among the first physical platforms to be considered for quantum information processing, because of their exceptional quantum coherence and atomic-scale footprint. However, their full potential for quantum computing has not yet been realized, due to the lack of methods to link nuclear qubits within a scalable device combined with multi-qubit operations with sufficient fidelity to sustain fault-tolerant quantum computation. Here we demonstrate universal quantum logic operations using a pair of ion-implanted 31P nuclei in a silicon nanoelectronic device. A nuclear two-qubit controlled-Z gate is obtained by imparting a geometric phase to a shared electron spin, and used to prepare entangled Bell states with fidelities up to 94.2(2.7)%. The quantum operations are precisely characterised using gate set tomography (GST) yielding one-qubit average gate fidelities up to 99.95(2)%, two-qubit average gate fidelity of 99.37(11)% and two-qubit preparation/measurement fidelities of 98.95(4)%. These three metrics indicate that nuclear spins in silicon are approaching the performance demanded in fault-tolerant quantum processors. We then demonstrate entanglement between the two nuclei and the shared electron by producing a Greenberger-Horne-Zeilinger three-qubit state with 92.5(1.0)% fidelity. Since electron spin qubits in semiconductors can be further coupled to other electrons or physically shuttled across different locations these results establish a viable route for scalable quantum information processing using nuclear spins.

Publication: Mądzik, Mateusz T., Asaad, Serwan, et al. "Precision tomography of a three-qubit electron-nuclear quantum processor in silicon." arXiv preprint arXiv:2106.03082 (2021).

Presenters

  • Mateusz T Madzik

    Delft University of Technology, University of New South Wales, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

Authors

  • Mateusz T Madzik

    Delft University of Technology, University of New South Wales, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

  • Serwan Asaad

    University of New South Wales

  • Akram Youssry

    University of Technology Sydney

  • Benjamin Joecker

    University of New South Wales

  • Kenneth M Rudinger

    Sandia National Laboratories

  • Erik Nielsen

    Sandia National Laboratories

  • Kevin C Young

    Sandia National Laboratories

  • Timothy J Proctor

    Sandia National Laboratories

  • Andrew D Baczewski

    Sandia National Laboratories

  • Arne Laucht

    University of New South Wales

  • Vivien Schmitt

    CEA grenoble, CEA Grenoble, University of New South Wales

  • Fay E Hudson

    University of New South Wales, Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, UNSW Sydney, New South Wales 2052, Australia.

  • Kohei M Itoh

    Keio Univ, School of Fundamental Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan., Keio University

  • Alexander M Jacob

    School of Physics, University of Melbourne, Parkville VIC 3010, Australia, University of Melbourne

  • Brett C Johnson

    University of Melbourne

  • David N Jamieson

    School of Physics, University of Melbourne, Parkville VIC 3010, Australia, University of Melbourne, School of Physics, University of Melbourne, Melbourne, VIC 3010, Australia.

  • Andrew S Dzurak

    University of New South Wales, Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, UNSW Sydney, New South Wales 2052, Australia.

  • Christopher Ferrie

    University of Technology Sydney

  • Robin J Blume-Kohout

    Sandia National Laboratories

  • Andrea Morello

    School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney NSW 2052, Australia, School of Electrical Engineering and Telecommunications, UNSW Sydney, University of New South Wales, Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, UNSW Sydney, New South Wales 2052, Australia.