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    Generalized symplectic representation of local Clifford operators

    Cai-Hong Wang1, Jiang-Tao Yuan1,*, Zhi-Hao Ma2,3, Shao-Ming Fei4, and Shang-Quan Bu5

    • 1Department of General Education, Wuxi University, Wuxi 214105, China
    • 2School of Mathematical Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai 200240, China
    • 3Mathematical Science & Digital Security Joint Library of Shanghai Seres Information Technology Co., Ltd., and School of Mathematical Science, SJTU, Shanghai 200040, China
    • 4School of Mathematical Sciences, Capital Normal University, Beijing 100048, China
    • 5Department of Mathematical Sciences, University of Tsinghua, Beijing 100084, China

    • *Contact author: jtyuan@cwxu.edu.cn

    Phys. Rev. A 113, 022454 – Published 27 February, 2026

    DOI: https://doi.org/10.1103/xwyr-sr6l

    Abstract

    Clifford operators play a vital role in quantum computation and information. Conventionally, a single-qudit Clifford operator maps the complete set of generalized Pauli matrices (GPMs) onto itself under conjugation. However, many practical quantum information tasks—such as local discrimination of generalized Bell states (GBSs)—only require mapping a specific subset of GPMs to another, rather than the entire set. To address this we introduce the concept of a local Clifford operator, defined as a unitary operator that conjugates a given set of n GPMs into another such set. We establish necessary and sufficient conditions for such an operator to transform a pair of GPMs and show that these operators admit a generalized symplectic representation, analogous to the symplectic representation of standard Clifford operators. Furthermore, we give a generalized symplectic representation of any local Clifford operator acting on an n-GPM set. The generalized symplectic representation of local Clifford operators is directly applicable to determining the local unitary equivalence of sets of GBSs—a fundamental problem in quantum information, with applications in tasks such as local state discrimination. Our results thus bridge algebraic structures and physical applications, offering new tools for classifying and manipulating quantum states and operations.

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