APS Logo

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.

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