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SeQUeNCe: a customizable discrete-event simulator of quantum networks
Quantum Science and Technology ( IF 5.6 ) Pub Date : 2021-09-30 , DOI: 10.1088/2058-9565/ac22f6
Xiaoliang Wu 1 , Alexander Kolar 2 , Joaquin Chung 3 , Dong Jin 4 , Tian Zhong 5 , Rajkumar Kettimuthu 3 , Martin Suchara 3
Affiliation  

Recent advances in quantum information science enabled the development of quantum communication network prototypes and created an opportunity to study full-stack quantum network architectures. This work develops SeQUeNCe, a comprehensive, customizable quantum network simulator. Our simulator consists of five modules: hardware models, entanglement management protocols, resource management, network management, and application. This framework is suitable for simulation of quantum network prototypes that capture the breadth of current and future hardware technologies and protocols. We implement a comprehensive suite of network protocols and demonstrate the use of SeQUeNCe by simulating a photonic quantum network with nine routers equipped with quantum memories. The simulation capabilities are illustrated in three use cases. We show the dependence of quantum network throughput on several key hardware parameters and study the impact of classical control message latency. We also investigate quantum memory usage efficiency in routers and demonstrate that redistributing memory according to anticipated load increases network capacity by 69.1% and throughput by 6.8%. We designSeQUeNCe to enable comparisons of alternative quantum network technologies, experiment planning, and validation and to aid with new protocol design. We are releasing SeQUeNCe as an open source tool and aim to generate community interest in extending it.



中文翻译:

SeQUeNCe:量子网络的可定制离散事件模拟器

量子信息科学的最新进展促进了量子通信网络原型的发展,并为研究全栈量子网络架构创造了机会。这项工作开发了 SeQUeNCe,这是一个全面的、可定制的量子网络模拟器。我们的模拟器由五个模块组成:硬件模型、纠缠管理协议、资源管理、网络管理和应用程序。该框架适用于捕捉当前和未来硬件技术和协议的广度的量子网络原型的模拟。我们实现了一套全面的网络协议,并通过模拟具有九个配备量子存储器的路由器的光子量子网络来演示 SeQUeNCe 的使用。模拟功能在三个用例中进行了说明。我们展示了量子网络吞吐量对几个关键硬件参数的依赖性,并研究了经典控制消息延迟的影响。我们还研究了路由器中的量子内存使用效率,并证明根据预期负载重新分配内存可将网络容量提高 69.1%,吞吐量提高 6.8%。我们设计SeQUeNCe 以实现替代量子网络技术、实验规划和验证的比较,并帮助新协议设计。我们将 SeQUeNCe 作为开源工具发布,旨在激发社区对扩展它的兴趣。我们还研究了路由器中的量子内存使用效率,并证明根据预期负载重新分配内存可将网络容量提高 69.1%,吞吐量提高 6.8%。我们设计SeQUeNCe 以实现替代量子网络技术、实验规划和验证的比较,并帮助新协议设计。我们将 SeQUeNCe 作为开源工具发布,旨在激发社区对扩展它的兴趣。我们还研究了路由器中的量子内存使用效率,并证明根据预期负载重新分配内存可将网络容量提高 69.1%,吞吐量提高 6.8%。我们设计SeQUeNCe 以实现替代量子网络技术、实验规划和验证的比较,并有助于新协议设计。我们将 SeQUeNCe 作为开源工具发布,旨在激发社区对扩展它的兴趣。

更新日期:2021-09-30
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