Computing with spin qubits at the surface code error threshold

ORAL

Abstract

High-fidelity control of quantum bits is paramount for the reliable execution of quantum algorithms and for achieving fault-tolerance, the ability to correct errors faster than they occur. The central requirement for fault-tolerance is expressed in terms of an error threshold. Whereas the actual threshold depends on many details, a common target is the ~1% error threshold of the well-known surface code. Reaching two-qubit gate fidelities above 99% has been a long-standing major goal for semiconductor spin qubits. These qubits are promising for scaling as they can leverage advanced semiconductor technology. Here we report a spin-based quantum processor in silicon with single- and two-qubit gate fidelities all above 99.5%, extracted from gate set tomography. The average single-qubit gate fidelities remain above 99% when including crosstalk and idling errors on the neighboring qubit. Having surpassed the 99% barrier for the two-qubit gate fidelity, semiconductor qubits are well positioned on the path to fault-tolerance and to possible applications in the era of noisy intermediate-scale quantum (NISQ) devices. In this talk I will focus on the aspects which leads to the realization of the high-fidelity CZ gate and what we can learn from the remaining errors.

*We achknowledge funding by the Dutch Ministry for Economic Affairs through the allowance for Topconsortia for Knowledge and Innovation (TKI) and the Army Research Office (ARO) under grant numbers W911NF-17-1-0274.

Publication: Xiao Xue, Maximilian Russ, Nodar Samkharadze, Brennan Undseth, Amir Sammak, Giordano Scappucci, Lieven MK Vandersypen, arXiv:2107.00628

Presenters

  • Maximilian Russ

    • Delft University of Technology

Authors

  • Maximilian Russ

    • Delft University of Technology
  • Xiao Xue

    • TU Delft
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology
    • Delft University of Technology
  • Nodar Samkharadze

    • Delft University of Technology
    • QuTech and Netherlands Organisation for Applied Scientific Research
  • Brennan Undseth

    • Delft University of Technology
  • Amir Sammak

    • Netherlands Organization for Applied Scientific Research (TNO)
    • TNO, Delft, The Netherlands
    • Delft University of Technology
  • Giordano Scappucci

    • Delft University of Technology
    • QuTech and Kavli Institute of Nanoscience, TU Delft, P.O. Box 5046, 2600 GA Delft, The Netherlands
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology
  • Lieven Vandersypen

    • Delft University of Technology
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology