Characterizing and benchmarking a superconducting dual-rail cavity qubit processor

ORAL

Abstract

Dual-rail qubits using superconducting cavities offer a promising path to realize erasure qubits. In this encoding, the dominant error channel, single-photon loss, can be detected and either postselected or converted into an erasure. Such an architecture leads to lowered requirements for quantum error correction and to improved near-term error-detected algorithms. Realizing such a system requires a toolbox of operations that include state-preparation and measurement, single-qubit gates, two-qubit gates, and erasure-check measurements. In this talk, we introduce a dual-rail qubit processor based on superconducting cavities and show key performance metrics for all operations. Armed with this toolbox, we perform several system-level benchmarks that demonstrate the capability of our dual-rail cavity qubit system.

Presenters

  • Kevin S Chou

    • Quantum Circuits, Inc.

Authors

  • Kevin S Chou

    • Quantum Circuits, Inc.
  • Nitish Mehta

    • Quantum Circuits, Inc.
  • Taewan Noh

    • Quantum Circuits, Inc
  • Pinlei Lyu

    • Quantum Circuits, Inc
  • Gangqiang Liu

    • Yale University
    • Quantum Circuits, Inc.
  • James D Teoh

    • Quantum Circuits, Inc.
  • Trevor A Keen

    • Quantum Circuits, Inc.
  • Joseph O Yuan

    • New York University (NYU)
    • Quantum Circuits, Inc.
  • Shantanu O Mundhada

    • Quantum Circuits, Inc.
    • Quantum Circuits Inc
  • Sean Weinberg

    • Quantum Circuits, Inc.
  • Jose Aumentado

    • National Institute of Standards and Technology Boulder
    • National Institute of Standards and Technology
    • National Institute of Standards and Technology, Quantum Circuits, Inc.
    • Quantum Circuits Inc
    • Quantum Circuits, Inc.
  • S. Harvey Moseley

    • Quantum Circuits Inc
    • Quantum Circuits, Inc.
  • Robert J Schoelkopf

    • Yale University