Atomic flux pulses for a superconducting quantum processor, part 2: performance and benefits of net-zero conditional-phase gates

ORAL

Abstract

We use a novel pulse shape, named net-zero, to realize a coherence limited, codeword-triggered, and repeatable conditional-phase (CZ) gate between transmon qubits in a circuit QED processor. We characterize the performance of both conventional and net-zero CZ flux pulses and quantify specific error sources such as leakage, dephasing, relaxation, non-markovianity, and coherent errors. We compare experimental results to simulations that include realistic modeling of these effects.

*This research is supported by IARPA (U.S. Army Research Office grant W911NF-16-1-0071), Intel Corporation and ERC grant EQEC No. 682726.

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Presenters

  • Michiel Adriaan Rol

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

Authors

  • Michiel Adriaan Rol

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

  • Filip K Malinowski

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

  • Francesco Battistel

    • QuTech, Delft University of Technology

  • Brian M Tarasinski

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

  • Barbara Terhal

    • QuTech, Delft University of Technology
    • TU Delft

  • Leonardo DiCarlo

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