论文标题
灵活网格纠缠分布网络的最佳资源分配
Optimal resource allocation for flexible-grid entanglement distribution networks
论文作者
论文摘要
我们使用遗传算法（GA）作为设计辅助，以确定具有任意频道和用户数量的Flex-Grid量子网络中纠缠光子光谱的最佳配置。在基于频率过度座的双音基础引入了纠缠分布的一般模型之后，我们在富达和纠缠的比特率上得出了一个一对一用户连接的网络的上限。发现基于用户探测器质量和链路效率的简单条件，可以确定纠缠是否可能。我们成功地应用了GA，以在四种不同的代表性网络方案中找到最佳资源分配，并在部署光纤的量子区域网络中实验验证模型的功能。我们的结果表明了大规模纠缠分布网络快速设计的希望。
We use a genetic algorithm (GA) as a design aid for determining the optimal provisioning of entangled photon spectrum in flex-grid quantum networks with arbitrary numbers of channels and users. After introducing a general model for entanglement distribution based on frequency-polarization hyperentangled biphotons, we derive upper bounds on fidelity and entangled bit rate for networks comprising one-to-one user connections. Simple conditions based on user detector quality and link efficiencies are found that determine whether entanglement is possible. We successfully apply a GA to find optimal resource allocations in four different representative network scenarios and validate features of our model experimentally in a quantum local area network in deployed fiber. Our results show promise for the rapid design of large-scale entanglement distribution networks.
