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SymQuPS introduces a Python library built on SymPy specifically for performing algebraic operations within the phase space representation of quantum mechanics, such as Wigner and Husimi functions. The tool facilitates canonical quantization and solves Lindblad master equations using star products and s-ordered operators, offering researchers new capabilities for symbolic manipulation in open quantum systems.
SymQuPS: Symbolic Quantum Phase Space Algebra in Python
arXiv:2608.14263v1 Announce Type: new Abstract: We present \texttt{SymQuPS}, a SymPy-based algebra system in Python mainly aimed toward the phase space representation of quantum mechanics within the Cahill-Glauber formalism (including the Glauber-Sudarshan $P$, Wigner, and Husimi $Q$ representations). By extension, the package serves as an algebraic venue for canonical quantization. A key feature is the phase space representation of an arbitrary Lindblad master equation, which gives the phase space equation of motion of the quantum system. We describe the core functionalities of the package, consisting of $s$-ordered operators, the star products, and the phase space representation. Some examples of use are given to illustrate the application of the package, and the package's performance in typical use cases is discussed.
Abstract:We present \texttt{SymQuPS}, a SymPy-based algebra system in Python mainly aimed toward the phase space representation of quantum mechanics within the Cahill-Glauber formalism (including the Glauber-Sudarshan $P$, Wigner, and Husimi $Q$ representations). By extension, the package serves as an algebraic venue for canonical quantization. A key feature is the phase space representation of an arbitrary Lindblad master equation, which gives the phase space equation of motion of the quantum system. We describe the core functionalities of the package, consisting of $s$-ordered operators, the star products, and the phase space representation. Some examples of use are given to illustrate the application of the package, and the package's performance in typical use cases is discussed.
arXiv:2608.14263 [quant-ph]
(or arXiv:2608.14263v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.14263 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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