Adaptive Geometric Topology Quantum Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of geometric topology and quantum algorithms to improve the precision of modeling and simulation. We propose a novel quantum algorithm designed to dynamically adjust geometric parameters based on input data, offering a significant advantage over traditional approaches. The algorithm leverages quantum superposition and entanglement to achieve a level of adaptability and precision unattainable through conventional methods. The theoretical framework and preliminary results demonstrate the potential for this algorithm to revolutionize modeling in fields requiring precise geometric representation. This work presents a new approach to quantum computation with significant implications for areas such as data analysis, image processing, and computational geometry.

DOI: 10.5281/zenodo.22187641

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