Export citation

Export citation

Choose format for download:

Download Citation

    Multivalued quantum encoding protocol based on the N−V center in diamond

    Yifan Zhang1,*, Yanjie Liu1,2,*, Yue Fu2,3,4,†, Minghui Wu5, Yikun Mei5, Yeliang Wang2, Zhen Gao5,‡, and Bo Zhang1,5,§

    • 1Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Center for Interdisciplinary Science of Optical Quantum and NEMS Integration, School of Physics, Beijing Institute of Technology, Beijing 100081, China
    • 2School of Integrated Circuits and Electronics, Beijing Institute of Technology, MIIT Key Laboratory for Low-Dimensional Quantum Structure and Devices, Beijing Institute of Technology, Beijing 100081, China
    • 3Institute of Fundamental Physics and Quantum Technology, Ningbo University, Ningbo, Zhejiang 315211, China
    • 4Department of Physics, School of Physical Science and Technology, Ningbo University, Ningbo, Zhejiang 315211, China
    • 5MIIT Key Laboratory of Complex-Field Intelligent Sensing, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

    • *These authors contributed equally to this work.
    • †Contact author: fuyue@nbu.edu.cn
    • ‡Contact author: gaozhen16@bit.edu.cn
    • §Contact author: bozhang_quantum@bit.edu.cn

    Phys. Rev. Applied 26, 044025 – Published 7 October, 2026

    DOI: https://doi.org/10.1103/r6jz-nmqm

    Abstract

    Multivalued quantum encoding maps a classical alphabet of M>2 symbols onto multiple prescribed states. Here, we experimentally demonstrate multivalued quantum encoding in an effective two-level subspace of the electron spin of a nitrogen-vacancy center in diamond at room temperature. Classical symbols are mapped onto either the qubit population (polar angle θ) or the coherence (azimuthal angle ϕ) via microwave pulses with controlled durations or phases. By coherently preparing four distinct states within the electron-spin qubit, we demonstrate image reconstruction symbol by symbol. No decoding errors are observed for the tested finite datasets under the reported repetition settings. To enhance robustness to channel noise, we further integrate an error-adaptive joint source-channel coding (EAJSCC) neural codec, which achieves a 2% compression ratio with a structural similarity index (SSIM) of 0.78, compared with SSIM approximately equal to 0.24 for a conventional baseline. These results establish a viable route toward higher information density in room-temperature solid-state spin platforms.

    Physics Subject Headings (PhySH)

    Authorization Required

    We need you to provide your credentials before accessing this content.

    References (Subscription Required)

    Outline

    Information

    Sign In to Your Journals Account

    Filter

    Filter

    Article Lookup

    Enter a citation