Quantum Entanglement-Accelerated Symbolic Reasoning

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of leveraging quantum entanglement to significantly accelerate symbolic reasoning and knowledge graph queries. Traditional symbolic reasoning methods often struggle with the inherent challenges of encoding and searching large amounts of logical information, leading to computational bottlenecks. We propose a novel approach that utilizes quantum entanglement to overcome these limitations. The core idea is to decompose symbolic logic problems into multiple entangled qubit sets. Through superposition and interference of these entangled states, parallel inference is enabled. Finally, quantum measurements yield the solution. This approach promises exponential speedups compared to classical methods, offering a fundamentally new paradigm for logical deduction and knowledge retrieval. The paper details the theoretical framework, outlining the key equations and mathematical representations underpinning the proposed methodology. We present a detailed model that incorporates the principles of quantum mechanics to accelerate the process of symbolic inference. This research contributes to the emerging field of quantum information science and its potential applications in artificial intelligence and knowledge management.

DOI: 10.5281/zenodo.22612662

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