基于动态拓扑的量子态预测与优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel system for quantum state prediction and optimization based on dynamic topology. Traditional quantum state prediction methods rely on static models, while this approach leverages the unique properties of dynamic topology to predict and optimize quantum state evolution. We propose a framework that utilizes a dynamic topology representation to analyze the system's state evolution, allowing for precise manipulation of quantum states. This research offers a significant advancement in quantum control, enabling more accurate and adaptable quantum operations. The system's core mechanism is a dynamic topology-based evolution model, which allows for the prediction of quantum state changes and facilitates optimization of these changes. The resulting system demonstrates improved accuracy and efficiency in quantum state manipulation compared to existing methods.

DOI: 10.5281/zenodo.22185676

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