SpecEES: Collaborative Research: Advancing the Wireless Spectral Frontier with Quantum-Enabled Computational Techniques (QENeTs)

SpecEES：协作研究：利用量子计算技术 (QENeT) 推进无线频谱前沿

• 批准号: 1824470
• 负责人: Davide Venturelli
• 金额: $ 27.72万
• 依托单位: Universities Space Research Association
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824470&HistoricalAwards=false
• 关键词: SpecEES; Collaborative; Research; Advancing; Wireless

In recent years, user demand for increasing amounts of wireless capacity continues to outpace supply. To meet this demand, significant progress has been made in designing new wireless technologies, but even higher-performance systems remain impractical largely because their techniques are extremely computationally demanding. For the best performance, these techniques generally require an amount of computation that increases at an exponential rate both with the number of users and with the data rate of each user. The base station's computational capacity is becoming the limiting factor on wireless capacity. Quantum-Enabled Computational Techniques (QENeTs) aims to transform the current research landscape by leveraging quantum computation to overcome previous computational limitations, enabling new levels of wireless network performance, with the eventual outcome of incorporating quantum computation into tomorrow's wireless cellular networking standards. In the context of advanced cellular technologies, QENeTs will contribute techniques to both improve network performance and enable co-existence of wireless local area networking technologies such as Wi-Fi in dense deployments. The project will design a multitude of new communications receiver decoding algorithms that are amenable to execution on today's and tomorrow's quantum annealers, as well as the early prototypes of forthcoming quantum gate model computers. The QENeTs maximum-likelihood decoder problems are the first application of quantum computing to wireless networks, and the first time that such real-world problems have been attempted in quantum computers in their full complexity. These methods will be tested on real hardware and benchmarked against the best known classical approaches. In addition to spectral efficiency, the project will also consider how quantum-enabled techniques can improve the energy efficiency of massive multiple-input/multiple-output (MIMO) algorithms, both on the mobile handset where battery life is key, as well as on the infrastructure side, where the ability to power-down base stations reaps significant cost savings benefits for the network operator. The QENeTs project will contribute to the governmental and industrial research environments, as the Universities Space Research Association (USRA), one of the collaborating institutions, has entered into a joint Space Act Agreement with the National Aeronautics and Space Administration (NASA) and Google to conduct collaborative research on the benefits of quantum computing for a range of challenging applications. QENeTs will further support graduate student education through summer internship experiences at USRA and the NASA Ames Research Center.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.

近年来，用户对不断增加的无线容量的需求继续超过供应。为了满足这一需求，在设计新的无线技术方面取得了重大进展，但即使是更高性能的系统也仍然不切实际，主要是因为它们的技术对计算要求极高。为了获得最佳性能，这些技术通常需要随着用户数和每个用户的数据速率以指数速度增加的计算量。基站的计算能力正在成为无线容量的限制因素。量子计算技术(QENeT)旨在通过利用量子计算来克服以前的计算限制，从而改变当前的研究格局，使无线网络性能达到新的水平，最终结果是将量子计算纳入未来的无线蜂窝网络标准。在先进蜂窝技术的背景下，QENeT将有助于提高网络性能，并使Wi-Fi等无线局域网技术能够在密集部署中共存。该项目将设计一系列新的通信接收器解码算法，这些算法可以在今天和明天的量子退火炉上执行，以及即将到来的量子门模型计算机的早期原型。QENets最大似然译码问题是量子计算在无线网络中的第一次应用，也是第一次在完全复杂的量子计算机中尝试这种现实世界的问题。这些方法将在真实的硬件上进行测试，并与最著名的经典方法进行基准比较。除了频谱效率，该项目还将考虑量子启用技术如何提高大规模多输入/多输出(MIMO)算法的能效，无论是在电池寿命至关重要的移动手机上，还是在基础设施方面，在基础设施方面，关闭基站的能力为网络运营商带来了显著的成本节约好处。QENeTS项目将有助于政府和工业研究环境，因为合作机构之一的大学空间研究协会(USRA)已经与美国国家航空航天局(NASA)和谷歌达成了一项联合空间法案协议，以就量子计算对一系列具有挑战性的应用的好处进行合作研究。QENets将通过在USRA和NASA Ames研究中心的暑期实习经验进一步支持研究生教育。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

利用量子退火在集中式无线接入网络中进行大型 MIMO 处理

• DOI: 10.1145/3341302.3342072
• 发表时间: 2019
• 期刊: The 31st ACM Special Interest Group on Data Communication (SIGCOMM
• 作者: Kim, Minsung;Venturelli, Davide;Jamieson, Kyle
• 通讯作者: Jamieson, Kyle

Heuristic Quantum Optimization for 6G Wireless Communications

• DOI: 10.1109/mnet.012.2000770
• 发表时间: 2021-07-01
• 期刊: IEEE NETWORK
• 影响因子: 9.3
• 作者: Kim, Minsung;Kasi, Srikar;Jamieson, Kyle
• 通讯作者: Jamieson, Kyle

Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems

无线网络系统中的混合经典量子计算结构

• DOI: 10.1145/3422604.3425924
• 发表时间: 2020
• 期刊: Nineteenth ACM Workshop on Hot Topics in Networks
• 作者: Kim, M.;Venturelli, D.;Jamieson, K.
• 通讯作者: Jamieson, K.

Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond

• DOI: 10.1145/3447993.3448619
• 发表时间: 2021-03
• 期刊: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking
• 作者: Minsung Kim;S. Mandrà;D. Venturelli;K. Jamieson

Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding

用于大型 MIMO 下行链路矢量扰动预编码的量子退火

• DOI: 10.1109/icc42927.2021.9500557
• 发表时间: 2021
• 期刊: IEEE International Conference on Communications
• 作者: Kasi, Srikar;Singh, Abhishek Kumar;Venturelli, Davide;Jamieson, Kyle
• 通讯作者: Jamieson, Kyle