Probability Information Theory of Quantum Entanglement Simulation - Based on Quantum Entanglement Dynamics

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of probability information theory to simulate complex quantum systems, specifically leveraging the dynamic nature of quantum entanglement. We propose a novel framework for quantum system simulation, utilizing a probabilistic distribution driven by quantum entanglement to model evolving quantum states. The core claim is that this model, when implemented, can approximate the fundamental principles underlying quantum consciousness. The mechanism involves introducing a dynamic probability distribution derived from entanglement, allowing for the simulation of complex systems exhibiting phenomena previously inaccessible through traditional probability information theory. This work addresses the limitations of existing methods and opens avenues for quantum computing research, potentially towards simulating quantum systems with enhanced fidelity and adaptability.

DOI: 10.5281/zenodo.22264941

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