From Discrete to Continuous-Variable Systems via Jordan-Schwinger Tomographic Transformation

• URL: http://arxiv.org/abs/2510.21476v1
• Date: Fri, 24 Oct 2025 13:58:58 GMT
• Title: From Discrete to Continuous-Variable Systems via Jordan-Schwinger Tomographic Transformation
• Authors: Vladimir A. Orlov, Liubov A. Markovich, Alexey N. Rubtsov, Vladimir I. Man'ko,
• Abstract summary: Hybrid quantum systems that combine discrete-variable (DV) and continuous-variable (CV) architectures represent a promising direction in quantum information science.<n>We construct a bridge between DV and CV systems by means of the tomographic probability representation of quantum states.<n>The proposed formalism enables a unified framework for comparing and transferring quantum information across different hardware platforms.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Hybrid quantum systems that combine discrete-variable (DV) and continuous-variable (CV) architectures represent a promising direction in quantum information science. However, transferring concepts and methods between such fundamentally different platforms entails both practical and theoretical challenges. The formalisms of these two "universes" differ significantly, and many notions, although sharing the same names, possess distinct properties and physical interpretations. In this work, we construct a bridge between DV and CV systems by means of the tomographic probability representation of quantum states complemented by the Jordan-Schwinger map. We connect observable random variables such as spin projections, photon numbers, or quadratures arising in DV and CV architectures through their probabilistic representations, namely spin, photon-number, and symplectic tomograms, as well as the Wigner function. This makes it possible to directly obtain the tomogram in one architecture from measurement data in another, thereby reconstructing the corresponding state across representations realizing similar statistics. The proposed formalism enables a unified framework for comparing and transferring quantum information across different hardware platforms. This facilitates the design of hybrid protocols where, for example, spin-based quantum memories interface with photonic communication channels or CV bosonic codes. It also provides a practical tool for benchmarking quantum devices, validating algorithms across heterogeneous architectures, and exploring error correction schemes that rely on mappings between finite- and infinite-dimensional systems.

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