Resonance Matrix Geometry Model

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the application of resonance matrix theory to geometric modeling, focusing on the potential for quantum entanglement to provide unprecedented precision and stability in the representation of complex shapes. We propose a novel framework that leverages entanglement to dynamically adjust geometric models, offering a pathway towards more accurate and robust representations, particularly within the realms of materials science and biological morphology. This research investigates the impact of entanglement on the modeling process, highlighting its ability to enhance fidelity and mitigate inherent limitations in traditional geometric approaches. The core mechanism centers around utilizing entanglement to guide iterative refinement of geometric parameters, ultimately leading to a refined model representation.

DOI: 10.5281/zenodo.22296265

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