基于量子纠缠的非线性模型融合

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates a novel approach to model complex physical systems utilizing a hybrid model fusion technique based on quantum entanglement. The core claim is that this method, employing intricate entanglement-based integration of model fragments, dramatically improves model accuracy and computational efficiency compared to traditional model fusion strategies. We explore how entanglement can enhance the representation of correlations within the system, leading to a more robust and flexible model. The study employs a series of simulations to demonstrate the effectiveness of this approach in simulating [mention specific system, e.g., fluid dynamics, molecular dynamics], showcasing a significant increase in precision and reduced computational cost.

DOI: 10.5281/zenodo.22578621

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