基于量子纠缠的动态概率场论分析

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of utilizing quantum entanglement for dynamic probability field theory analysis. We introduce a novel framework predicated on the inherent properties of quantum entanglement to automatically adjust probability field parameters within a system, leading to enhanced simulation and prediction accuracy. The core mechanism involves leveraging entangled states to dynamically modify the system's probabilistic landscape, offering a significant advancement over static parameter-based approaches. We demonstrate the framework's effectiveness through a simplified, illustrative example, showcasing its capability to achieve improved simulation fidelity compared to traditional methods. This work explores the implications of this approach for complex systems and offers a pathway toward more precise modeling.

DOI: 10.5281/zenodo.22192523

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