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    Imperfection analysis for random-telegraph-noise mitigation using spectator qubits

    Yanan Liu*

    Areeya Chantasri†

    Hongting Song‡

    Howard M. Wiseman§

    • Centre for Quantum Dynamics, Griffith University, Kessels Rd, Brisbane, 4111 Queensland, Australia and School of Engineering, University of Newcastle, University Dr, Newcastle, 2308 New South Wales, Australia

    • Optical and Quantum Physics Laboratory, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand and Centre for Quantum Dynamics, Griffith University, Kessels Rd, Brisbane, 4111 Queensland, Australia

    • Centre for Quantum Dynamics, Griffith University, Kessels Rd, Brisbane, 4111 Queensland, Australia and Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China

    • Centre for Quantum Dynamics, Griffith University, Kessels Rd, Brisbane, 4111 Queensland, Australia

    • *Contact author: yanan.liu@griffith.edu.au
    • †Contact author: areeya.chn@mahidol.ac.th
    • ‡Contact author: shtfc@163.com
    • §Contact author: h.wiseman@griffith.edu.au

    Phys. Rev. A 113, 052405 – Published 4 May, 2026

    DOI: https://doi.org/10.1103/zchg-gcb3

    Abstract

    Spectator qubits (SQs) for random-telegraph noise mitigation have been proposed by Song et al., [Phys. Rev. A 107, L030601 (2023)], where an SQ operates as a noise probe to estimate optimal noise-correction control on the hard-to-access data qubits. It was shown that a protocol with adaptive measurement on the SQs and a Bayesian estimation-based control can suppress the data qubits' decoherence rate by a large factor with quadratic scaling in the SQ sensitivity. However, the protocol’s practicality in real-world scenarios remained in question, due to various sources of imperfection that could affect the performance. We therefore analyze here the proposed adaptive protocol under nonideal conditions, including parameter uncertainties in the system, efficiency and time delay in readout and reset processes of the SQs, and additional decoherence on the SQs. We also explore analytical methods of Bayesian estimation in the time domain and generalize the map-based formalism to nonideal scenarios. This allows us to derive imperfection bounds at which the decoherence suppression remains approximately the same as under ideal conditions.

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