##拓扑-信息的量子聚合

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel quantum aggregation algorithm predicated on the principle of leveraging topological structures to enhance information processing and data compression. The core mechanism centers around optimizing computation through the application of topological structures, resulting in improved data compression and identification capabilities. Traditional aggregation methods often lack the inherent advantages offered by topology, presenting a significant opportunity for advancement. This research explores the design and implementation of this algorithm, detailing its theoretical underpinnings, mathematical framework, and potential impact on various data processing tasks. The paper concludes by outlining future research directions, focusing on exploring the scalability and practical applications of this innovative approach.

DOI: 10.5281/zenodo.22241665

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