Dynamic Topology Geometry: A Novel Approach to Complex System Topology Prediction and Algorithm Generation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces Dynamic Topology Geometry (DTG), a novel computational framework leveraging quantum entanglement to predict and understand complex system topology. We propose a method that utilizes entangled quantum states to achieve precise measurement of topological information and then guides the execution of algorithms based on this information. Traditional approaches often struggle with the complexity of these systems, and DTG offers a fundamentally new approach to topology prediction, aiming to reveal underlying patterns and constraints through quantum entanglement. The core mechanism involves establishing and manipulating entangled states to capture and analyze topological properties. The potential benefits of this framework include enhanced computational efficiency, the ability to model highly complex systems, and the potential discovery of novel topological phenomena.

DOI: 10.5281/zenodo.22303720

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