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.

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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