Coherence correlations in planar fluxonium qubits

ORAL

Abstract

Superconducting qubits have demonstrated promise as a technology with which to build a quantum computer. A current roadblock to creating such a processor with these circuits is their finite coherence time, which limits gate fidelity. Fluxonium qubits have exhibited long coherence times and could be an avenue towards a high-coherence quantum processor. This work studies data on the circuit parameters, coherence, and single-qubit gate fidelities of planar aluminum-on-silicon fluxoniums. We consider data gathered for the purpose of collecting statistics on device performance, understanding how measured coherence times correlate with device parameters and achievable gate fidelities, and identifying the dominant loss mechanisms limiting device coherence.



This material is based upon work supported under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. government or the U.S. Air Force.

*This material is based upon work supported under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. government or the U.S. Air Force.

–

Presenters

  • Kate Azar

    • MIT Lincoln Laboratory
    • Wellesley Coll

Authors

  • Kate Azar

    • MIT Lincoln Laboratory
    • Wellesley Coll

  • Thomas M Hazard

    • Lincoln Laboratory, Massachusetts Institute of Technology
    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Mallika T Randeria

    • MIT Lincoln Laboratory

  • Jeffrey M Gertler

    • MIT Lincoln Laboratory
    • University of Massachusetts Amherst

  • Renée DePencier Piñero

    • MIT Lincoln Laboratory

  • Kunal L. Tiwari

    • MIT Lincoln Laboratory

  • Leon Ding

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology

  • Max Hays

    • MIT
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology
    • Massachussets Institute of Technology
    • Massachusetts Institute of Technology MIT

  • Junyoung An

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology

  • Junghyun Kim

    • Massachusetts Institute of Technology

  • Ilan T Rosen

    • Massachusetts Institute of Technology

  • Agustin Di Paolo

    • Massachusetts Institute of Technology
    • Google Quantum AI

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Hannah M Stickler

    • MIT Lincoln Laboratory

  • Bethany Niedzielski

    • MIT Lincoln Laboratory

  • Felipe Contipelli

    • MIT Lincoln Laboratory

  • Jeffrey A Grover

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MIT

  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Mollie E Schwartz

    • MIT Lincoln Laboratory

  • William D Oliver

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MIT

  • Kyle Serniak

    • MIT Lincoln Laboratory & MIT RLE
    • MIT Lincoln Laboratory
    • MIT Lincoln Laboratory, MIT RLE