Nonlinear Geometry Chaos Quantum Computing Framework

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel quantum computing framework for tackling complex optimization problems, specifically focusing on nonlinear geometry chaos. We introduce a quantum algorithm that leverages quantum entanglement to accelerate the computation of these systems, offering a potential pathway to significant advancements in computational power. The core mechanism centers around utilizing quantum entanglement to dramatically enhance the speed and efficiency of solving problems involving chaotic geometry. The framework is designed to be scalable and adaptable to a range of optimization challenges. We present a preliminary analysis of the algorithm's potential, outlining its key components and demonstrating its theoretical advantages through a simplified model.

DOI: 10.5281/zenodo.22263760

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