Collaborative Research: FET: Medium: Quantum Localization and Synchronization Networks

合作研究：FET：媒介：量子定位和同步网络

• 批准号: 1955206
• 负责人: Xiaodi Wu
• 金额: $ 33.19万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard 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=1955206&HistoricalAwards=false
• 关键词: Collaborative; Research; FET; Medium; Quantum

The demand for highly accurate position and time information, provided by localization and synchronization methods, respectively, is growing rapidly. However, classical localization and synchronization methods are approaching their limits. Utilizing quantum properties promises to push these boundaries beyond classical limitations and provide unprecedented accuracy. This project aims to develop theoretical and practical methodologies for the design and analysis of quantum localization and synchronization networks. These methodologies consist of statistical models and distributed algorithms to harness quantum phenomena for beyond-classical localization and synchronization. The broader impact of this research includes the creation of a new network-centric approach for future quantum localization and synchronization networks. Cross-pollinating ideas and methodologies adopted in this research effort will bring new perspectives and initiate new directions in the study of quantum information science. The outcomes of the proposed research will be widely disseminated through publication in premier journals and international conferences, presentation in seminars and tutorials, as well as integration into teaching materials. Furthermore, the project will create a cadre of engineers with the capability to design and engineer future quantum networks. The success of this project will contribute to the leadership of United States in quantum information science and technology.The award will explore new opportunities and dimensions offered by the unique properties (e.g., multipartite entanglement), associated with discrete- and continuous-variable quantum states, inherent in quantum networks. To this end, the project will employ multidisciplinary approaches (including statistical inference, network optimization, and quantum information science) to (i) determine the performance limits of quantum localization and synchronization networks, and (ii) develop strategies for exploiting the unique properties of quantum networks.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.

对分别通过定位和同步方法提供的高精度位置和时间信息的需求正在迅速增长。然而，经典的定位和同步方法正在接近其极限。利用量子特性有望突破经典限制并提供前所未有的准确性。该项目旨在开发用于量子局域化和同步网络的设计和分析的理论和实践方法。这些方法由统计模型和分布式算法组成，利用量子现象进行超经典的定位和同步。这项研究的更广泛影响包括为未来的量子定位和同步网络创建一种新的以网络为中心的方法。这项研究工作中采用的交叉授粉思想和方法将为量子信息科学研究带来新的视角并开创新的方向。拟议研究的成果将通过在顶级期刊和国际会议上发表、在研讨会和教程中发表以及融入教材来广泛传播。此外，该项目还将培养一支具有设计和工程未来量子网络能力的工程师队伍。该项目的成功将有助于美国在量子信息科学和技术方面的领导地位。该奖项将探索与离散和连续可变量子态相关的独特性质（例如多部分纠缠）所提供的新机会和维度，量子网络固有的。为此，该项目将采用多学科方法（包括统计推断、网络优化和量子信息科学）来（i）确定量子局域化和同步网络的性能限制，以及（ii）制定利用量子定位和同步网络的独特属性的策略。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Distributed Quantum Sensing Network with Geographically Constrained Measurement Strategies

• DOI: 10.1109/icassp49357.2023.10096723
• 发表时间: 2023-06
• 期刊: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
• 作者: Yingkang Cao;Xiaodi Wu