Based on Quantum Entanglement Distributed Semantic Understanding Engine

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel approach to semantic understanding leveraging the unique properties of quantum entanglement. Traditional semantic understanding systems rely on probabilistic models and rule-based systems, often struggling with the inherent ambiguity and complexity of natural language. We introduce a distributed semantic understanding engine based on quantum entanglement, aiming to achieve a deeper and more nuanced understanding of complex semantic information. The core claim is that utilizing the non-local correlations inherent in quantum entanglement can surpass the limitations of conventional information representation and processing. The system architecture consists of a network of quantum processors, each responsible for processing a portion of the semantic data. A carefully designed quantum entanglement protocol establishes quantum channels between processors, facilitating the encoding of information correlations and dependencies at a quantum level. Distributed semantic reasoning is performed using entangled states, and quantum error correction techniques are employed to enhance computational reliability. We explore the theoretical possibilities and potential advantages of this approach, emphasizing its departure from classical methods and its potential to unlock a fundamentally different paradigm for semantic understanding. This research addresses the need for more robust and accurate semantic analysis in scenarios involving high-dimensional data and complex relationships. ---

DOI: 10.5281/zenodo.22333838

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