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Trade off-free entanglement stabilization in a superconducting qutrit-qubit system

Author

Listed:
  • T. Brown

    (University of Massachusetts
    Quantum Engineering and Computing, Raytheon BBN)

  • E. Doucet

    (University of Massachusetts)

  • D. Ristè

    (Quantum Engineering and Computing, Raytheon BBN
    Keysight Technologies)

  • G. Ribeill

    (Quantum Engineering and Computing, Raytheon BBN)

  • K. Cicak

    (National Institute of Standards and Technology)

  • J. Aumentado

    (National Institute of Standards and Technology)

  • R. Simmonds

    (National Institute of Standards and Technology)

  • L. Govia

    (Quantum Engineering and Computing, Raytheon BBN)

  • A. Kamal

    (University of Massachusetts)

  • L. Ranzani

    (Quantum Engineering and Computing, Raytheon BBN)

Abstract

Quantum reservoir engineering is a powerful framework for autonomous quantum state preparation and error correction. However, traditional approaches to reservoir engineering are hindered by unavoidable coherent leakage out of the target state, which imposes an inherent trade off between achievable steady-state state fidelity and stabilization rate. In this work we demonstrate a protocol that achieves trade off-free Bell state stabilization in a qutrit-qubit system realized on a circuit-QED platform. We accomplish this by creating a purely dissipative channel for population transfer into the target state, mediated by strong parametric interactions coupling the second-excited state of a superconducting transmon and the engineered bath resonator. Our scheme achieves a state preparation fidelity of 84% with a stabilization time constant of 339 ns, leading to a 54 ns error-time product in a solid-state quantum information platform.

Suggested Citation

  • T. Brown & E. Doucet & D. Ristè & G. Ribeill & K. Cicak & J. Aumentado & R. Simmonds & L. Govia & A. Kamal & L. Ranzani, 2022. "Trade off-free entanglement stabilization in a superconducting qutrit-qubit system," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31638-0
    DOI: 10.1038/s41467-022-31638-0
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    References listed on IDEAS

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    Cited by:

    1. Ziqian Li & Tanay Roy & Yao Lu & Eliot Kapit & David I. Schuster, 2024. "Autonomous stabilization with programmable stabilized state," Nature Communications, Nature, vol. 15(1), pages 1-6, December.

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