优化卫星轨道参数以提升全球量子网络的纠缠生成效率
Optimizing Orbital Parameters of Satellites for a Global Quantum Network
- 采用贝叶斯优化与遗传算法设计卫星星座布局
- 相比传统覆盖优化，纠缠生成率显著提升
- 适合量子通信网络规划与卫星系统设计者
由于地面量子链路存在根本性限制，卫星被视为构建全球量子互联网中纠缠源的重要候选。本文聚焦于设计适用于此类量子网络的卫星星座，通过优化卫星倾角和集群分配，使固定分布的全球地面站间实现最大纠缠生成速率。我们采用两种黑箱优化框架：贝叶斯优化（BO）和遗传算法（GA），结果相近，表明二者均有效。尽管两者表现相似，但BO通常收敛更快，而GA后期增长趋势显示其对局部最优解更具鲁棒性。总体而言，该方法相较仅以地面站覆盖为目标的朴素方案有显著改进。
原文摘要 · Abstract (English)
Due to fundamental limitations on terrestrial quantum links, satellites have received considerable attention for their potential as entanglement generation sources in a global quantum internet. In this work, we focus on the problem of designing a constellation of satellites for such a quantum network. We find satellite inclination angles and satellite cluster allocations to achieve maximal entanglement generation rates to fixed sets of globally distributed ground stations. Exploring two black-box optimization frameworks: a Bayesian Optimization (BO) approach and a Genetic Algorithm (GA) approach, we find comparable results, indicating their effectiveness for this optimization task. While GA and BO often perform remarkably similar, BO often converges more efficiently, while later growth noted in GAs is indicative of less susceptibility towards local maxima. In either case, they offer substantial improvements over naive approaches that maximize coverage with respect to ground station placement.
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