Quantum Geometry of Complex Systems: A Predictive Framework

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Geometry, a novel approach to geometric modeling, offers a powerful tool for understanding and predicting the evolution of complex systems. This paper explores the application of quantum geometry to construct a predictive quantum graph model, emphasizing its capacity to capture intricate non-linear relationships within systems. We demonstrate how incorporating this geometry allows for more accurate simulations and analyses compared to traditional methods. The core mechanism centers on leveraging the inherent non-linear properties of quantum graphs to model dynamic systems with enhanced fidelity. The resulting model provides a robust framework for studying complex phenomena across diverse fields, including materials science, biology, and climate modeling. This work proposes a significant advancement in predictive capabilities, particularly in handling intricate non-linear dynamics.

DOI: 10.5281/zenodo.22266962

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