Dynamic Probability Field Theory for Quantum Entanglement Analysis

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel dynamic probability field theory designed to analyze quantum entanglement properties and predict its evolution. We propose a framework that treats entanglement as a dynamically evolving probability field, incorporating self-adaptive properties to enhance quantum computation's efficiency and reliability. The core mechanism involves representing entanglement as a continuously evolving probability field, allowing for a more nuanced understanding and control over its behavior. The paper details the theoretical foundation and initial experimental explorations of this approach, highlighting its potential for improved entanglement analysis and quantum algorithm design. The primary goal is to provide a robust mathematical model for understanding and predicting entanglement dynamics.

DOI: 10.5281/zenodo.22244256

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