Collaborative Research: CNS Core: Medium: Design and Analysis of Quantum Networks for Entanglement Distribution

合作研究： CNS 核心：媒介：纠缠分布的量子网络设计与分析

• 批准号: 1955204
• 负责人: Leandros Tassiulas
• 金额: $ 40万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955204&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

Recent advances in quantum information processing like quantum key distribution (QKD) are already in deployment ensuring secure end-to-end communication. This is especially important today, because of the risk posed by quantum computing to current Internet-based encryption technology such as RSA. At the same time there is a multitude of emerging quantum information based technologies with a high promise of revolutionizing their respective areas of application. These include ultra-high-precision distributed sensing with applications to metrology and science discovery (e.g., LIGO), much higher-rate deep space optical communications than possible with conventional systems, and polynomial speedups on search with implications to big data. Most of these applications are enabled by high-rate distributed shared quantum entanglement between pairs and groups of users. The goal of this project is to develop a distributed infrastructure in the form of a quantum network to enable reliable, large scale quantum entanglement distribution. Progress in that direction will catalyze quantum computing advances in the same way the Internet boosted computing to conquer most aspects of contemporary economy and society.The goal of the project is the fully-informed study of the design and operation of quantum networks combining physical-layer device noise models with the ground-up development of higher-layer network protocols. It aspires to bridge the intellectual gap between the quantum information and physics communities who are the ones primarily involved in developing quantum communication protocols, and the networking community who have decades of experience in the design and analysis of practical computer and communication networks. The proposed research will both: (a) inform device needs and specifications pushed down by network application requirements; and (b) help develop network routing and resource allocation protocols optimized for device quality metrics, such as quantum memory coherence times and detector excess noise. The project will culminate in the development of new tools and algorithms for a completely new family of networking protocols for a problem set up and resource constraints that have no immediate classical analogues.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

量子信息处理的最新进展，如量子密钥分发（QKD），已经在部署中，以确保安全的端到端通信。这在今天尤为重要，因为量子计算对当前基于互联网的加密技术（如RSA）构成了风险。与此同时，有许多新兴的基于量子信息的技术，这些技术很有可能彻底改变其各自的应用领域。这些包括应用于计量和科学发现的超高精度分布式传感（例如，LIGO），比传统系统更高速率的深空光通信，以及对大数据搜索的多项式加速。这些应用中的大多数都是由用户对和用户组之间的高速率分布式共享量子纠缠实现的。该项目的目标是以量子网络的形式开发分布式基础设施，以实现可靠的大规模量子纠缠分发。这一方向的进展将推动量子计算的进步，就像互联网推动计算征服当代经济和社会的大多数方面一样。该项目的目标是充分了解量子网络的设计和操作，将物理层设备噪声模型与更高层网络协议的基础开发相结合。它致力于弥合量子信息和物理社区之间的知识鸿沟，这些社区主要参与开发量子通信协议，而网络社区在实际计算机和通信网络的设计和分析方面拥有数十年的经验。拟议的研究将：（a）通知设备需求和规范，这些需求和规范被网络应用要求压低;（B）帮助开发针对设备质量指标（如量子存储器相干时间和检测器过量噪声）进行优化的网络路由和资源分配协议。该项目最终将为一个全新的网络协议系列开发新的工具和算法，以解决没有直接经典类似物的问题和资源限制。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches

重新审视 Birkhoff 的分解：高速电路交换机的稀疏调度

• DOI: 10.1109/tnet.2021.3088327
• 发表时间: 2021
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Valls, Victor;Iosifidis, George;Tassiulas, Leandros
• 通讯作者: Tassiulas, Leandros