Charge-Ramp Demodulated Sensing in an Offset-Charge Sensitive Transmon Array

ORAL

Abstract

Modern quantum error correction can be hampered by spatiotemporal-correlated errors, limiting the utility of superconducting qubit processors. The underlying dynamics of nonequilibrium quasiparticles during such an event can be investigated by monitoring the charge-parity in offset-charge-sensitive transmons. However, continuous monitoring is impeded by low-frequency charge noise; some protocols require frequent recalibration of the offset-charge bias point, obscuring visibility of the charge-parity following large discrete offset-charge jumps. In this work, we propose a novel charge-sensing scheme, using direct-dispersive readout in the ground-state manifold, while applying an external voltage modulation, for high-bandwidth extraction of the offset-charge (thus inferring the charge-parity state without interruption). We use this technique to investigate spatiotemporally correlated errors by simultaneously monitoring 4 qubits in an OCS transmon array, demonstrating an offset-charge resolution within 0.1e at a ~1kHz detection bandwidth.

*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

  • Felipe Contipelli

    • MIT Lincoln Laboratory

Authors

  • Felipe Contipelli

    • MIT Lincoln Laboratory
  • Jeffrey M Gertler

    • MIT Lincoln Laboratory
  • Serra Erdamar

    • MIT Lincoln Laboratory
  • Doug Pinckney

    • Massachusetts Institute of Technology
  • Kate Azar

    • MIT Lincoln Laboratory
  • Renée DePencier Piñero

    • MIT Lincoln Laboratory
  • Michael A Gingras

    • MIT Lincoln Laboratory
  • Patrick M Harrington

    • Massachusetts Institute of Technology
  • Max Hays

    • Massachusetts Institute of Technology
  • David K Kim

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
  • Bethany M Niedzielski

    • MIT Lincoln Laboratory
  • Mallika T Randeria

    • MIT Lincoln Laboratory
  • Hannah M Stickler

    • MIT Lincoln Laboratory
  • Jeffrey A Grover

    • Massachusetts Institute of Technology
  • Joseph AAngelo Formaggio

    • Massachusetts Institute of Technology
  • Mollie E. Schwartz

    • MIT Lincoln Laboratory
  • William D Oliver

    • Massachusetts Institute of Technology
  • Kyle Serniak

    • MIT Lincoln Laboratory