基于自组织网络的自适应量子计算调度
Jincheng Zhang
Abstract
Quantum computing, a revolutionary field, promises unprecedented computational power. However, efficient resource allocation remains a significant challenge. This paper introduces a novel algorithm, "基于自组织网络的自适应量子计算调度", which dynamically adjusts the scheduling of quantum computation tasks based on a self-organizing network. This approach aims to optimize resource utilization and significantly enhance the efficiency of quantum computations. The core mechanism leverages the inherent structure of self-organizing networks to create a flexible and adaptive scheduling system. We present a theoretical analysis and empirical validation demonstrating the algorithm's effectiveness in improving task allocation and reducing computational time. The potential benefits of this approach are substantial, paving the way for broader adoption of quantum computing.