基于自旋的几何变换的几何信息检索算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates a novel geometric information retrieval algorithm based on self-organized quantum states and entanglement. Traditional information retrieval methods often struggle with complex geometric datasets, necessitating significant manual effort. This research proposes a quantum geometry information retrieval algorithm that leverages quantum states and entanglement to significantly enhance the efficiency and accuracy of information retrieval, particularly for complex geometric data. The algorithm's core mechanism centers around a dynamic self-organization process within quantum states, allowing for more nuanced and efficient exploration of data space. We present a preliminary implementation and analyze the performance of the algorithm on a benchmark dataset, demonstrating its potential to outperform existing methods.

DOI: 10.5281/zenodo.22265752

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