在具有切断点的同质重复器链中采用最佳的纠分布政策
Álvaro G Iñesta1,2,3, Gayane Vardoyan1,2, Lara Scavuzzo2
1QuTech, Delft University of Technology, Delft, The Netherlands.
概括
我们使用带有量子记忆的量子重复器优化了量子纠分布. 全球知识政策大大减少了建立端到端纠所需的时间,特别是在更大的网络中.
科学领域:
- 量子信息科学 量子信息科学
- 量子通信网络 量子通信网络
- 纠的分布 纠的分布
背景情况:
- 量子重复器对于在长距离上分配纠至关重要.
- 具有有限存储时间 (切断) 的量子内存需要战略操作政策.
- 纠交换和直接链接生成是重复链中的关键操作.
研究的目的:
- 确定运行量子重复器的最佳策略,以尽量减少端到端纠生成时间.
- 与地方信息相比,调查全球知识对政策效率的影响.
- 分析网络规模和成功概率如何影响最佳政策的执行.
主要方法:
- 将量子重复器网络建模为马尔科夫决策过程.
- 采用价值和政策代算法来找到最佳的操作策略.
- 将全球知识政策与地方信息政策的表现进行比较.
主要成果:
- 确定了全球知识政策,以尽量减少端到端纠的预期时间.
- 证明全球政策的性能优势随着节点数量的增加而增加.
- 证明当成功交换的概率较低时,优势更大.
结论:
- 最佳的全球知识政策可以显著改善纠分布时间.
- 先进政策的好处在较大且不太可靠的量子网络中变得更加明显.
- 这项工作为优化量子重复器链的控制提供了一个框架.
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