Dynamic Topology, Self-Adaptive Geometry, and Quantum Entanglement for Complex System Modeling

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper presents a novel framework for complex system modeling utilizing dynamic topology, self-adaptive geometry, and quantum entanglement. The core concept is to leverage the unique properties of quantum entanglement to predict system evolution and achieve precise modeling of complex systems. Traditional system modeling relies heavily on classical physics, often struggling to fully capture the intricacies of quantum systems. This work introduces a dynamic topology-based model that enhances the accuracy of simulations by incorporating quantum entanglement, offering a more robust and detailed approach to complex system analysis. The proposed framework aims to surpass existing methods by providing a mathematically grounded framework for predicting system states and accurately representing the evolution of complex systems.

DOI: 10.5281/zenodo.22220455

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