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用于多用户场景的量子网络中的高效纠缠交换

Efficient Entanglement Swapping in Quantum Networks for Multi-User Scenarios.

作者信息

He Binjie, Loke Seng W, Lu Luke, Zhang Dong

机构信息

College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China.

School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia.

出版信息

Entropy (Basel). 2025 Jun 9;27(6):615. doi: 10.3390/e27060615.

DOI:10.3390/e27060615
PMID:40566202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12191485/
Abstract

Entanglement swapping is a crucial step in quantum communication, generating long-distance entanglements between quantum users for quantum network applications, such as distributed quantum computing. This study focuses on the efficiency of entanglement swapping strategies in quantum networks, particularly in multi-user concurrent quantum communication. Since multi-user concurrent quantum communication consists of multiple point-to-point quantum communications, we first analyze the challenges faced by existing entanglement swapping strategies in this scenario and then propose Parallel Segment Entanglement Swapping (PSES) to address them. PSES utilizes a tree-like model to divide the path into segments and execute entanglement swapping in parallel across them, thereby enhancing the generation rate of long-distance entanglement. Furthermore, we analyze the impact of resource contention on entanglement swapping in multi-user concurrent quantum communication and propose Multi-user PSES (M-PSES) to alleviate this negative impact. M-PSES leverages the entanglement swapping trigger signal and resource locking mechanisms to mitigate resource contention. The simulation results show that PSES performs superiorly to existing entanglement swapping strategies in point-to-point quantum communication, and M-PSES can achieve better performance than PSES in multi-user concurrent quantum communication.

摘要

纠缠交换是量子通信中的关键步骤，它能在量子用户之间产生长距离纠缠，以用于量子网络应用，如分布式量子计算。本研究聚焦于量子网络中纠缠交换策略的效率，特别是在多用户并发量子通信中的效率。由于多用户并发量子通信由多个点对点量子通信组成，我们首先分析了现有纠缠交换策略在这种场景下面临的挑战，然后提出了并行段纠缠交换（PSES）来解决这些挑战。PSES利用树形模型将路径划分为段，并在这些段上并行执行纠缠交换，从而提高长距离纠缠的生成率。此外，我们分析了资源争用对多用户并发量子通信中纠缠交换的影响，并提出了多用户PSES（M-PSES）来减轻这种负面影响。M-PSES利用纠缠交换触发信号和资源锁定机制来缓解资源争用。仿真结果表明，在点对点量子通信中，PSES的性能优于现有纠缠交换策略，而在多用户并发量子通信中，M-PSES能比PSES实现更好的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/ec53969792a2/entropy-27-00615-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/be0c2ecfdc3e/entropy-27-00615-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/0e2cbae81fc4/entropy-27-00615-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/eb3004dab1ed/entropy-27-00615-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/7885daa649da/entropy-27-00615-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b07/12191485/ec53969792a2/entropy-27-00615-g015.jpg

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