Measurement of the soft 0-pi qubit with small junction and inductive energies

ORAL

Abstract

Optimization of the soft 0-pi qubit requires a design space trade-off between noise protection and inductive leakage to neighboring states. In this talk, we present preliminary measurement results of a soft 0-pi qubit with small EJ and EL. While this parameter regime could be preferable in reducing leakage to neighboring states during gate operation, it could lead to smaller relaxation protection between the two logical states of the qubit. Additionally, we expect to achieve coherent qubit control using a Raman transition with an ancillary level located at relatively lower frequency. To measure the soft 0-pi qubit in this regime, we first employed an offset-charge calibration technique based on the variance of two quasiparticle parity states in the I-Q plane. Next, we show spectroscopy measurements together with a fit to a soft zero-pi qubit Hamiltonian. Finally, we explain the current challenges and the outlook to move beyond the limitations of the soft 0-pi qubit.

*This research was funded in part by the U.S. Army Research Office (ARO) Multidisciplinary University Research Initiative (MURI) W911NF-18-1-0411; and by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government. This material is based upon work supported in part by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract number DE-SC0012704. J.A. acknowledges support from the Korea Foundation for Advanced Studies.

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Presenters

  • Junyoung An

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

Authors

  • Junyoung An

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

  • Agustin Di Paolo

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

  • Ilan T Rosen

    • Stanford Univ
    • Massachusetts Institute of Technology

  • Roni Winik

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT

  • Leon Ding

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • Max Hays

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

  • Alexander Melville

    • MIT Lincoln Laboratory

  • Bethany Huffman

    • MIT Lincoln Laboratory

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Mollie E Schwartz

    • MIT Lincoln Laboratory

  • Terry P Orlando

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • Simon Gustavsson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • Jeffrey A Grover

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

  • Kyle Serniak

    • MIT Lincoln Laboratory

  • William D Oliver

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology (MIT), MIT Lincoln Laboratory
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology, MIT Lincoln Laboratory