基于动态拓扑的量子态预测

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel quantum state prediction algorithm based on dynamic topology, aiming to provide more accurate predictions of quantum state evolution and improved quantum state measurement. Traditional approaches rely heavily on classical computation, while this method leverages the inherent dynamism of quantum states to achieve a fundamentally different prediction strategy. The core mechanism involves mapping the quantum state's evolution through a dynamic topology, allowing for a more nuanced and predictive model. We present a theoretical framework and initial implementation demonstrating the algorithm's effectiveness in predicting specific quantum states. The paper concludes with a discussion of the potential applications and limitations of this approach.

DOI: 10.5281/zenodo.22222181

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