基于量子信息网络的自适应计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of quantum information networks for adaptive computation, focusing on the utilization of quantum entanglement and superposition to enable distributed computing and data processing with dynamically adjusted resource allocation. The core claim centers on the design of a quantum information network architecture that leverages these quantum properties to achieve enhanced efficiency and resilience compared to traditional distributed computing methods. This work presents a novel approach to network configuration and resource management, exploring specific mechanisms to optimize performance based on real-time data analysis and network state. The paper details the challenges and opportunities presented by this paradigm shift in computation, highlighting the potential benefits of quantum networks for complex data processing and modeling.

DOI: 10.5281/zenodo.22639347

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