Improved error correction in a superconducting quantum processor with leakage reduction units built into qubit measurement

ORAL

Abstract

Leakage to non-computational states is a source of correlated errors in both time and space that limits the effectiveness of quantum error correction (QEC) with superconducting circuits. We present and experimentally demonstrate a high-fidelity, leakage reduction unit (LRU) operating concurrently with transmon measurement without incurring time overhead. Adapted from double-drive reset of population (DDROP), the protocol utilizes simultaneous drives on the transmon and its readout resonator, leveraging the dispersive shift to create a directional process that returns the transmon to the computational subspace. The LRU achieves a 98.4% leakage removal fraction without compromising the computational-state assignment fidelity (99.2%). Furthermore, a high-fidelity three-level readout is also achieved with this protocol. We combine LRUs, three-level readouts and neural-network decoding to successfully suppress logical error rates in both memory and stability QEC experiments without any post-selection.

*Research funded by the European Union Flagship on Quantum Technology (OpenSuperQplus100, no. 101113946), the Dutch National Growth Fund (KAT-1 and DiagnostiQ), Intel Corporation, and the Dutch Ministry of Economic Affairs (TKI).

Presenters

  • Yuejie Xin

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

Authors

  • Yuejie Xin

    • Delft University of Technology
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
  • Sean van der Meer

    • Delft University of Technology
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
  • Marc Serra-Peralta

    • QuTech and Delft Institute of Applied Mathematics, Delft University of Technology, The Netherlands
  • Tim Vroomans

    • QuTech & Kavli Institute of Nanoscience
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
  • Matvey Finkel

    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
  • Martijn Veen

    • Delft University of Technology
    • QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
  • Marc Beekman

    • Netherlands Organisation for Applied Scientific Research (TNO), The Netherlands
  • Leonardo DiCarlo

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