Title: Adaptive Self-Organizing Quantum Entanglement Modeling

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

The emergence of quantum entanglement is a fundamental aspect of quantum mechanics, holding immense potential for revolutionary technological advancements. However, the inherent complexity of entangled states, particularly self-organized entanglement, presents a significant challenge to practical quantum computation. This paper explores the theoretical modeling of adaptive self-organized quantum entanglement, aiming to provide a robust framework for predicting and controlling the behavior of these systems. We propose a dynamic quantum entanglement model, leveraging the self-organizing properties of entanglement to predict distribution and stability, ultimately guiding the development of efficient and reliable quantum computing architectures. The core claim is that this model offers a significantly improved approach compared to static entanglement models, leading to more accurate predictions and facilitating the realization of complex quantum systems. Furthermore, we detail the underlying mechanism – the dynamic quantum entanglement model – and its potential impact on quantum computation.

DOI: 10.5281/zenodo.22187584

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