基于自组织网络的量子态预测

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state prediction is a crucial task in quantum information processing, vital for applications ranging from quantum computation to quantum communication. Traditional methods often rely on classical models, limiting the accuracy of predictions. This paper introduces a novel algorithm, based on self-organizing network structures, for quantum state prediction. The proposed algorithm leverages these networks to model and predict the evolution and coherence properties of quantum states. We demonstrate its efficacy through theoretical analysis and preliminary experimental results, showcasing a significant improvement over existing approaches. This work represents a significant step towards more accurate and reliable quantum state prediction, offering a promising pathway for advancing quantum technologies.

DOI: 10.5281/zenodo.22205375

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