基于量子纠缠的分布式传感器网络数据融合

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper proposes a novel approach to data fusion within distributed sensor networks leveraging the principles of quantum entanglement. Traditional sensor network data fusion methods often suffer from centralized processing, leading to vulnerabilities such as single points of failure and communication delays. This research introduces a system where multiple quantum sensors, interconnected through quantum entanglement, perform distributed data synchronization and fusion. The core claim is that this approach enhances data accuracy and reliability. The mechanism relies on the inherent correlations provided by entanglement, enabling real-time data alignment and intelligent aggregation without the limitations of centralized architectures. We outline the theoretical framework, explore the key mathematical formulations, and discuss the potential benefits and challenges of implementing such a system. The system's adaptive and dynamic nature represents a significant departure from conventional sensor network data fusion techniques.

DOI: 10.5281/zenodo.22614417

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