Quantum Entanglement Semantic Network

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Entanglement Semantic Network (QESN) is a novel semantic network architecture leveraging the unique properties of quantum entanglement to enhance information transfer and knowledge reasoning. The core principle is to design a network where node relationships are quantified through entanglement strength, effectively acting as a sophisticated measure of information density and facilitating more efficient data exchange. This paper explores the design and implementation of QESN, detailing the mechanisms behind its enhanced capabilities and highlighting its potential for surpassing conventional semantic network limitations. We present a comprehensive analysis of the network's operation, emphasizing the role of entanglement as a fundamental building block for improved cognitive processing. The research focuses on demonstrating the network's ability to achieve superior accuracy and speed in tasks requiring complex reasoning and pattern recognition, ultimately pushing the boundaries of semantic network capabilities.

DOI: 10.5281/zenodo.22198292

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