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Dynamic Topology Mapping

Jincheng Zhang

Published Aug 31, 2026• 0 citations
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Abstract

This paper investigates the potential of dynamic topology mapping to revolutionize geometric computation and simulation. Traditional methods often struggle with the computational complexity of intricate geometric structures, particularly at scale. We introduce a novel approach leveraging quantum entanglement to dynamically modify the topology of a space, achieving unprecedented precision and computational efficiency. The core mechanism centers around a quantum-based algorithm designed to iteratively refine the geometry based on real-time feedback. This offers a paradigm shift in geometric modeling, enabling the resolution of previously intractable problems. The work explores the feasibility and potential applications of this technology, focusing on its ability to accurately simulate complex geometries and perform high-precision geometric calculations. The paper details the algorithm's architecture, analyzes its performance characteristics, and discusses the challenges and future directions for this innovative approach.

DOI
10.5281/zenodo.22194026

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