From Maximal Entropy Random Walk to quantum thermodynamics
Jarek Duda

TL;DR
This paper explores a new stochastic modeling approach that aligns with quantum thermodynamics principles, leading to localized states and thermodynamical predictions similar to quantum mechanics, extending classical random walk concepts.
Contribution
It formalizes and extends a novel stochastic framework that reproduces quantum thermodynamical behavior and introduces generalizations like multi-particle effects and dynamical principles.
Findings
The approach yields probability densities matching quantum ground states.
It introduces thermodynamical analogues of quantum operators and principles.
The model demonstrates localization and thermalization consistent with quantum mechanics.
Abstract
Surprisingly the looking natural random walk leading to Brownian motion occurs to be often biased in a very subtle way: usually refers to only approximate fulfillment of thermodynamical principles like maximizing uncertainty. Recently, a new philosophy of stochastic modeling was introduced, which by being mathematically similar to euclidean path integrals, finally fulfills these principles exactly. Their local behavior is usually similar, but may lead to completely different global properties. In contrast to Brownian motion leading to nearly uniform stationary density, this recent approach turns out in agreement with having strong localization properties thermodynamical predictions of quantum mechanics, like thermalizing to dynamical equilibrium state having probability density as the quantum ground state: squares of coordinates of the lowest energy eigenvector of the Bose-Hubbard…
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