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Erasure Detection of a Dual-Rail Qubit Encoded in a Double-Post Superconducting Cavity

Akshay Koottandavida, Ioannis Tsioutsios, Aikaterini Kargioti, Cassady R. Smith, Vidul R. Joshi, Wei Dai, James D. Teoh, Jacob C. Curtis, Luigi Frunzio, Robert J. Schoelkopf, and Michel H. Devoret
Phys. Rev. Lett. 132, 180601 – Published 2 May 2024

Abstract

Qubits with predominantly erasure errors present distinctive advantages for quantum error correction (QEC) and fault-tolerant quantum computing. Logical qubits based on dual-rail encoding that exploit erasure detection have been recently proposed in superconducting circuit architectures, with either coupled transmons or cavities. Here, we implement a dual-rail qubit encoded in a compact, double-post superconducting cavity. Using an auxiliary transmon, we perform erasure detection on the dual-rail subspace. We characterize the behavior of the code space by a novel method to perform joint-Wigner tomography. This is based on modifying the cross-Kerr interaction between the cavity modes and the transmon. We measure an erasure rate of 3.981±0.003(ms)1 and a residual, postselected dephasing error rate up to 0.17(ms)1 within the code space. This strong hierarchy of error rates, together with the compact and hardware-efficient nature of this novel architecture, holds promise in realizing QEC schemes with enhanced thresholds and improved scaling.

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  • Received 17 November 2023
  • Accepted 3 April 2024

DOI:https://doi.org/10.1103/PhysRevLett.132.180601

© 2024 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & OpticalCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Akshay Koottandavida*,†, Ioannis Tsioutsios*,‡, Aikaterini Kargioti, Cassady R. Smith, Vidul R. Joshi, Wei Dai, James D. Teoh, Jacob C. Curtis, Luigi Frunzio, Robert J. Schoelkopf, and Michel H. Devoret§

  • Department of Applied Physics, Yale University, New Haven, Connecticut 06520, USA and Yale Quantum Institute, Yale University, New Haven, Connecticut 06511, USA

  • *These authors contributed equally to this work.
  • akshay.koottandavida@yale.edu
  • ioannis.tsioutsios@yale.edu
  • §michel.devoret@yale.edu

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Vol. 132, Iss. 18 — 3 May 2024

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