Nonlinear Quantum Geometry Adaptive Topology Generation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for generating complex topological structures utilizing nonlinear quantum geometry, driven by real-time measurement analysis. Traditional topological methods often struggle with complex environments and dynamic changes, necessitating a more adaptable approach. Our algorithm leverages quantum entanglement to dynamically adjust geometric configurations, enabling the creation of models with self-adaptive topology. We demonstrate the effectiveness of this system through a series of simulations and preliminary experiments, showcasing a significant departure from conventional approaches. The core mechanism centers around a "dynamic topology" protocol, which continuously assesses measurement outcomes and adjusts geometry to achieve complex and self-organizing topological states.

DOI: 10.5281/zenodo.22297238

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