基于量子纠缠的拓扑拓扑预测

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum system prediction utilizing quantum entanglement. We propose a method that leverages the unique properties of quantum entanglement to accurately predict the evolution and behavior of quantum systems. The core mechanism involves constructing a dynamic model of entangled states, analyzing their changes, and predicting the system's trajectory. This research aims to develop a robust and accurate framework for quantum system optimization through the application of topological principles. The findings demonstrate the potential of this approach to significantly enhance the prediction and control capabilities of quantum systems.

DOI: 10.5281/zenodo.22292741

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