基于量子纠缠的自适应计算图

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel computational architecture, termed a "Quantum Entangled Adaptive Computation Graph" (QEACG), based on the principles of quantum entanglement and superposition. The QEACG leverages the unique properties of quantum entanglement to dynamically adjust the structure of the computation graph, enabling efficient computation in response to changing input data. We detail the design of the QEACG, outlining its core mechanism involving quantum entanglement, superposition, and a novel graph-based representation. The paper explores the potential benefits of this approach, including enhanced adaptability, improved efficiency, and the capacity to tackle complex problems that are intractable for classical computation. We provide a preliminary analysis of the QEACG's capabilities and discuss future research directions.

DOI: 10.5281/zenodo.22195069

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