Characterizing types of correlated errors in superconducting qubits

ORAL

Abstract

Errors in superconducting qubits that are correlated in time and space can pose problems for quantum error correction algorithms. Radiation from cosmic and terrestrial sources has been identified as a cause of these errors. Mechanical effects, such as those induced by the pulse tube in a dilution refrigerator, have also been identified as a source of correlated errors. These have the potential to be mitigated by appropriately designed experimental fixturing. We present an algorithm for distinguishing the two types of errors by their spatial, temporal, and frequency domain features, allowing for targeted error mitigation strategies. We also present accelerometer data to investigate the association between the vibration environment of the dilution refrigerator and the errors measured in the qubits. We present results from transmons with no intentional quasiparticle mitigation, as well as those that have been engineered to be less sensitive to quasiparticles.

*This research is sponsored by the U.S. Army Research Office Grant No. W911NF-23-1-0045 (Extensible and Modular Advanced Qubits), and under Air Force Contract No. FA8702-15-D-0001.

Presenters

  • Hannah P Binney

    • Massachusetts Institute of Technology

Authors

  • Hannah P Binney

    • Massachusetts Institute of Technology
  • Doug Pinckney

    • Massachusetts Institute of Technology
  • Kate Azar

    • Massachusetts Institute of Technology
    • MIT
  • Patrick M Harrington

    • Massachusetts Institute of Technology
  • Aranya Goswami

    • Massachusetts Institute of Technology
    • Nokia Bell Labs
  • Max Hays

    • Massachusetts Institute of Technology
  • Jiatong Yang

    • Massachusetts Institute of Technology
  • Wouter Van De Pontseele

    • Colorado School of Mines
  • Felipe Contipelli

    • MIT Lincoln Laboratory
  • Renée DePencier Piñero

    • MIT Lincoln Laboratory
  • Hannah M Stickler

    • MIT Lincoln Laboratory
  • Bethany M Niedzielski

    • MIT Lincoln Laboratory
  • Michael A Gingras

    • MIT Lincoln Laboratory
  • Mollie E. Schwartz

    • MIT Lincoln Laboratory
  • Jeffrey A Grover

    • Massachusetts Institute of Technology
  • Kyle Serniak

    • MIT Lincoln Laboratory
  • Joseph AAngelo Formaggio

    • Massachusetts Institute of Technology
  • William D Oliver

    • Massachusetts Institute of Technology