Quantum Mechanics of Stochastic Systems
Yurang (Randy) Kuang

TL;DR
This paper introduces a quantum framework for stochastic systems, showing how classical probability distributions emerge from quantum harmonic oscillators through specific perturbations, enabling quantum probability engineering and true random number generation.
Contribution
It develops a novel operator algebra and perturbation method that connect quantum mechanics with classical stochastic processes, providing a new foundation for probability realization and randomness generation.
Findings
Classical distributions arise from quantum harmonic oscillator perturbations.
A complete operator algebra for moment and information analysis is constructed.
Supports true random number generation without external whitening processes.
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.…
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