基于量子纠缠的分布式语义理解

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper proposes a novel approach to semantic understanding and reasoning by leveraging the unique properties of quantum entanglement. Traditional semantic understanding methods face limitations due to the inherent constraints of classical computation and centralized data storage. This research introduces a distributed system designed to overcome these limitations, utilizing pre-entangled quantum bits to enable real-time perception of correlations between data elements, regardless of their physical separation. The system employs quantum graph algorithms for inference, capitalizing on the non-local nature of entanglement to achieve higher data processing capabilities and potentially faster reasoning speeds. The core claim is that by harnessing entanglement's non-locality, we can construct a system capable of distributed semantic understanding and reasoning that surpasses the boundaries of traditional computation. The key mechanism involves a network of quantum processors, each handling a portion of the semantic data, connected through entangled qubits. We detail the architecture, the quantum graph algorithm implementation, and discuss the challenges and future directions of this technology.

DOI: 10.5281/zenodo.22140530

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