Quantum Mechanics of Stochastic Systems

• URL: http://arxiv.org/abs/2510.23654v2
• Date: Wed, 29 Oct 2025 01:35:23 GMT
• Title: Quantum Mechanics of Stochastic Systems
• Authors: Yurang, Kuang,
• Abstract summary: We develop a fundamental framework for the quantum mechanics of systems.<n>By constructing exact perturbation potentials that transform QHO eigenstates into representations, we demonstrate canonical probability distributions.<n>These results demonstrate that systems are inherently quantum-mechanical in structure, bridging quantum dynamics, statistical physics, and experimental probability realization.
• Score: 0.0954904463032233
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We develop a fundamental framework for the quantum mechanics of stochastic systems (QMSS), showing that classical discrete stochastic processes emerge naturally as perturbations of the quantum harmonic oscillator (QHO). By constructing exact perturbation potentials that transform QHO eigenstates into stochastic representations, we demonstrate that canonical probability distributions, including Binomial, Negative Binomial, and Poisson, arise from specific modifications of the harmonic potential. Each stochastic system is governed by a Count Operator (N), with probabilities determined by squared amplitudes in a Born-rule-like manner. The framework introduces a complete operator algebra for moment generation and information-theoretic analysis, together with modular projection operators (R_M) that enable finite-dimensional approximations supported by rigorous uniform convergence theorems. This mathematical structure underpins True Uniform Random Number Generation (TURNG) [Kuang, Sci. Rep., 2025], eliminating the need for external whitening processes. Beyond randomness generation, the QMSS framework enables quantum probability engineering: the physical realization of classical distributions through designed quantum perturbations. These results demonstrate that stochastic systems are inherently quantum-mechanical in structure, bridging quantum dynamics, statistical physics, and experimental probability realization.

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