Stable CNOT-gate on inductively-coupled fluxoniums with over 99.9% fidelity – part 2

ORAL

Abstract

In this part of the talk, we discuss the realization of a 60 ns direct CNOT gate on two inductively-coupled fluxonium qubits over 99.9% fidelity [1]. Fluxonium qubit is a promising elementary building block for quantum information processing due to its long coherence time combined with a strong anharmonicity. In this paper, we realize a 60 ns direct CNOT-gate on two inductively-coupled fluxoniums, which behave almost exactly as a pair of transversely-coupled spin-1/2 systems [2]. The CNOT-gate fidelity, estimated using randomized benchmarking, was as high as 99.94%. Furthermore, the fidelity remains above 99.9% for 24 days without any recalibration between measurements. Compared with the 99.96% fidelity of a 60 ns identity gate, our data brings the investigation of the non-decoherence-related errors during logical operations down to 2×10-4. The present result adds a simple and robust two-qubit gate into the still relatively small family of the “beyond three nines” gates on superconducting qubits.

[1] Lin, Wei-Ju, et al. "24 days-stable CNOT-gate on fluxonium qubits with over 99.9% fidelity." arXiv preprint arXiv:2407.15783 (2024).

[2] Lin, Wei-Ju, et al. "Verifying the analogy between transversely coupled spin-1/2 systems and inductively-coupled fluxoniums." arXiv preprint arXiv:2407.15450 (2024).

*This research was supported by the ARO HiPS (contract No. W911-NF18-1-0146) and GASP (contract No. W911-NF23-10093) programs.

Publication: Lin, Wei-Ju, et al. "24 days-stable CNOT-gate on fluxonium qubits with over 99.9% fidelity." arXiv preprint arXiv:2407.15783 (2024).

Presenters

  • Wei-Ju Lin

    • University of Maryland College Park

Authors

  • Wei-Ju Lin

    • University of Maryland College Park
  • Hyunheung Cho

    • University of Maryland College Park
  • Yinqi Chen

    • Louisiana State University
  • Kasra Sardashti

    • Laboratory for Physical Sciences (LPS)
  • Maxim G Vavilov

    • University of Wisconsin - Madison
  • Chen Wang

    • University of Massachusetts Amherst
    • UNIVERSITY OF MASSACHUSETTS AMHERST
  • Vladimir E Manucharyan

    • Ecole Polytechnique Federale de Lausanne
    • Federal Institute of Technology (EPFL)
    • EPFL