量子网络中吞吐量最大化的分段纠缠建立

Gongming Zhao, Jingzhou Wang, Yangming Zhao, Hongli Xu, C. Qiao
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引用次数: 3

摘要

在量子数据网络(QDN)中建立纠缠连接的传统方法有两种。一种是先建立单跳纠缠链路,然后用量子交换将其连接起来;另一种是通过中间节点的全光交换,将一个纠缠光子从一端送到另一端,直接建立纠缠连接。由于光子在长距离传输中容易丢失,现有的工作都采用前一种方法。然而,在一个房间大小的网络中,通过全光交换在多个链路上传递光子的成功概率并不低。此外,利用全光交换技术,我们可以节省中间节点的量子内存。因此,我们希望在有限的量子资源下建立更多的纠缠连接,首先使用全光交换创建纠缠段,每个纠缠段跨越多个量子链路,然后使用量子交换将它们连接起来。在本文中,我们设计了SEE,一种分段纠缠建立方法,无缝集成量子交换和全光交换,以最大限度地提高量子网络吞吐量。SEE首先通过全光交换在一个或多个量子链路上创建纠缠段,然后通过量子交换将它们连接起来。显然,一个纠缠环节只是一个特殊的纠缠段。因此,从理论上讲,SEE可以优于传统的基于纠缠链路的方法。大规模仿真表明,与最先进的基于纠缠链路的方法(即REPS)相比,SEE可以实现高达100.00%的吞吐量。
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Segmented Entanglement Establishment for Throughput Maximization in Quantum Networks
There are two conventional methods to establish an entanglement connection in a Quantum Data Network (QDN). One is to create single-hop entanglement links first and then connect them with quantum swapping, and the other is for-warding one of the entangled photons from one end to the other via all-optical switching at intermediate nodes to directly establish an entanglement connection. Since a photon is easy to be lost during a long distance transmission, all existing works are adopting the former method. However, in a room size network, the success probability of delivering a photon across multiple links via all-optical switching is not that low. In addition, with an all-optical switching technique, we can save quantum memory at the intermediate nodes. Accordingly, we are expecting to establish significantly more entanglement connections with limited quantum resources by first creating entanglement segments, each spanning multiple quantum links, using all-optical switching, and then connecting them with quantum swapping.In this paper, we design SEE, a Segmented Entanglement Establishment approach that seamlessly integrates quantum swapping and all-optical switching to maximize quantum network throughput. SEE first creates entanglement segments over one or multiple quantum links with all-optical switching, and then connect them with quantum swapping. It is clear that an entanglement link is only a special entanglement segment. Accordingly, SEE can theoretically outperform conventional entanglement link based approaches. Large scale simulations show that SEE can achieve up to 100.00% larger throughput compared with the state-of-the-art entanglement link based approach, i.e., REPS.
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