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
基本信息
- 批准号:1956211
- 负责人:
- 金额:$ 85万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
对分别由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。利用量子特性有望将这些边界超越经典限制,并提供前所未有的准确性。该项目旨在为量子局域化和同步网络的设计和分析开发理论和实践方法。这些方法包括统计模型和分布式算法,以利用量子现象超越经典的本地化和同步。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。在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的研究带来新的视角,并开辟新的方向。拟议研究的成果将通过在主要期刊和国际会议上发表、在研讨会和教程中介绍以及纳入教材等方式广泛传播。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。该奖项将探索独特性质(例如,多体纠缠),与量子网络中固有的离散和连续变量量子态相关联。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极限,以及(ii)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。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Model-Predictive Quantum Control via Hamiltonian Learning
- DOI:10.1109/tqe.2022.3176870
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Maison Clouâtré;M. J. Khojasteh;M. Win
- 通讯作者:Maison Clouâtré;M. J. Khojasteh;M. Win
Photon-varied quantum states: Unified characterization
- DOI:10.1103/physreva.108.022425
- 发表时间:2023-08
- 期刊:
- 影响因子:2.9
- 作者:Stefano Guerrini;M. Win;A. Conti
- 通讯作者:Stefano Guerrini;M. Win;A. Conti
Quantum-enhanced Doppler lidar
- DOI:10.1038/s41534-022-00662-9
- 发表时间:2022-03
- 期刊:
- 影响因子:7.6
- 作者:M. Reichert;R. Di Candia;M. Win;M. Sanz
- 通讯作者:M. Reichert;R. Di Candia;M. Win;M. Sanz
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Moe Win其他文献
MINING ASSOCIATION RULES FOR EDUCATIONAL DATA
矿业协会教育数据规则
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
U. Yin;Moe Win - 通讯作者:
Moe Win
MOTIVATIONAL FACTORS TO PROMOTE STUDENTS’ INTEREST AND INVOLVEMENT IN TEACHING-LEARNING ENGLISH
促进学生兴趣和参与英语教学的动机因素
- DOI:
10.20319/pijss.2018.43.224237 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Moe Win - 通讯作者:
Moe Win
Moe Win的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Moe Win', 18)}}的其他基金
RINGS: Resilient and Low-Latency Networks for Situation Awareness in the Factory of the Future
RINGS:用于未来工厂态势感知的弹性和低延迟网络
- 批准号:
2148251 - 财政年份:2022
- 资助金额:
$ 85万 - 项目类别:
Continuing Grant
NSF-IITP: CNS Core: Small: Quantum Communication and Sensing at Terahertz: A Path Toward 6G and Beyond
NSF-IITP:CNS 核心:小型:太赫兹量子通信和传感:迈向 6G 及以上的道路
- 批准号:
2153230 - 财政年份:2022
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
CIF: Small: Cooperative Interference Engineering for Network Secrecy
CIF:小型:网络保密的协作干扰工程
- 批准号:
1525705 - 财政年份:2015
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
CIF: Small: Foundations for Intrinsically Secure Networks: the Role of Network Interference
CIF:小型:本质安全网络的基础:网络干扰的作用
- 批准号:
1116501 - 财政年份:2011
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Cooperative Tracking in Harsh Environments: Statistical Framework and Network Experimentation
恶劣环境中的合作跟踪:统计框架和网络实验
- 批准号:
0901034 - 财政年份:2009
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
TCHCS: Hybrid Satellite/Terrestrial Network for Seamless Localization and Communication
TCHCS:用于无缝定位和通信的混合卫星/地面网络
- 批准号:
0636519 - 财政年份:2007
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
NRT: Agile and Efficient Ultra-Wideband Wireless Network Testbed for Challenged Environments
NRT:适用于充满挑战的环境的敏捷高效的超宽带无线网络测试台
- 批准号:
0335256 - 财政年份:2003
- 资助金额:
$ 85万 - 项目类别:
Continuing Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats
合作研究:FET:小型:十字交叉板条的算法自组装
- 批准号:
2329908 - 财政年份:2024
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Small: Reservoir Computing with Ion-Channel-Based Memristors
合作研究:FET:小型:基于离子通道忆阻器的储层计算
- 批准号:
2403559 - 财政年份:2024
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats
合作研究:FET:小型:十字交叉板条的算法自组装
- 批准号:
2329909 - 财政年份:2024
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Small: Reservoir Computing with Ion-Channel-Based Memristors
合作研究:FET:小型:基于离子通道忆阻器的储层计算
- 批准号:
2403560 - 财政年份:2024
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312886 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312884 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium: Efficient Compilation for Dynamically Reconfigurable Atom Arrays
合作研究:FET:中:动态可重构原子阵列的高效编译
- 批准号:
2313084 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Small: Theoretical Foundations of Quantum Pseudorandom Primitives
合作研究:FET:小型:量子伪随机原语的理论基础
- 批准号:
2329938 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Small: De Novo Protein Scaffold Filling by Combinatorial Algorithms and Deep Learning Models
合作研究:FET:小型:通过组合算法和深度学习模型从头填充蛋白质支架
- 批准号:
2307573 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium: Design and Implementation of Quantum Databases
合作研究:FET:媒介:量子数据库的设计和实现
- 批准号:
2312755 - 财政年份:2023
- 资助金额:
$ 85万 - 项目类别:
Standard Grant