##基于量子纠缠的分布式推理引擎

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper proposes a novel distributed reasoning engine leveraging quantum entanglement to overcome the limitations of traditional distributed computing architectures. The core claim is that by exploiting quantum entanglement, we can achieve parallel reasoning between distant nodes without relying on conventional communication channels, thereby significantly enhancing the efficiency of complex computations. The proposed mechanism involves constructing a distributed system composed of multiple quantum processors, each executing a portion of the reasoning task. These processors are interconnected through quantum entanglement, enabling instantaneous information sharing and synchronization, irrespective of the physical distance. This approach directly utilizes the fundamental property of quantum mechanics – quantum entanglement – to avoid communication latency bottlenecks, potentially leading to exponential improvements in computational speed. We present a theoretical framework outlining the architecture and operation of this system, focusing on the key mathematical aspects involved in entanglement management, quantum state synchronization, and reasoning algorithm implementation. The system's performance is analyzed, demonstrating its potential advantages over classical distributed reasoning approaches. ---

DOI: 10.5281/zenodo.22243590

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