Dual-rail Fluxonium Erasure Qubit

ORAL

Abstract

Implementing quantum error correction with erasure qubits and erasure error detection is understood to have advantages in both error threshold and code distance. To further improve the performance of the logical qubit and reduce the number of necessary physical qubits, we aim to design erasure qubits that have both low erasure error rate (<1%) and low logical error rate (<0.1%). We propose to achieve this goal by building a dual-rail erasure qubit in the form of two capacitively coupled fluxonium qubits. In this presentation, we show the basic system performance and benchmarks. We analyze the coherence properties of the fluxonium qubits in this system. We implement the erasure checks on the dual-rail qubit and evaluate their backactions.

*This research is sponsored in part by the U.S. Army Research Office Grant No. W911NFF-23-1-0045 (Extensible and Modular Advanced Qubits); 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; and in part 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 representing the official policies, either expressed or implied, of the U.S. Government.

Presenters

  • Helin Zhang

    • Massachusetts Institute of Technology

Authors

  • Helin Zhang

    • Massachusetts Institute of Technology
  • Junyoung An

    • Massachusetts Institute of Technology
  • Anuj Aggarwal

    • Chalmers University of Technology
  • Max Hays

    • Massachusetts Institute of Technology
  • Junghyun Kim

    • Massachusetts Institute of Technology
  • Ilan T Rosen

    • Massachusetts Institute of Technology
  • David A Rower

    • MIT, Department of Physics
    • MIT, Department of Physics, Google Quantum AI
  • Kate Azar

    • Massachusetts Institute of Technology
    • MIT
  • Miguel S Moreira

    • Massachusetts Institute of Technology
  • Jeffrey M Gertler

    • MIT Lincoln Laboratory
  • Michael A Gingras

    • MIT Lincoln Laboratory
  • Thomas M Hazard

    • MIT Lincoln Laboratory
  • Bethany M Niedzielski

    • MIT Lincoln Laboratory
  • Mallika T Randeria

    • MIT Lincoln Laboratory
  • Hannah M Stickler

    • MIT Lincoln Laboratory
  • Mollie E. Schwartz

    • MIT Lincoln Laboratory
  • Joel I-Jan Wang

    • Massachusetts Institute of Technology
  • Terry Philip Orlando

    • Massachusetts Institute of Technology
  • Simon Gustavsson

    • Massachusetts Institute of Technology
  • Jeffrey A Grover

    • Massachusetts Institute of Technology
  • Kyle Serniak

    • MIT Lincoln Laboratory
  • William D Oliver

    • Massachusetts Institute of Technology