ExpandQISE: Track 2: Neutral Atom Based Quantum Information Processing

ExpandQISE：轨道 2：基于中性原子的量子信息处理

• 批准号: 2228725
• 负责人: Chuanwei Zhang
• 金额: $ 500万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228725&HistoricalAwards=false
• 关键词: ExpandQISE; Track; Neutral; Atom; Based

Non-Technical description:Information technology is a major driving force of modern science and technology, having advanced human civilization throughout the past century. Quantum information technology, built upon fundamental quantum mechanics principles such as superposition and entanglement, can solve important problems that are intractable with current classical information technology. This center research is anticipated to revolutionize computing and communication technology with far-reaching societal impacts. The success of quantum information technology development in the US demands the establishment of a productive and sustained quantum information science and engineering (QISE) community that involves many US institutes for research, education, and workforce development. This project expands the current small-scale quantum research efforts at the University of Texas at Dallas (UT-Dallas) to establish a robust QISE community to serve Texas and the US. Key research and education components of the project include: i) Quantum network, sensing, and simulation research based on controlling cold atoms; ii) Multiple faculty hires and long-term institutional support; iii) Establishment of QISE undergraduate minor and graduate Master programs; and iv) Quantum workforce development and outreach activities through collaborations with industrial partners and established nationwide quantum information centers. These activities enable the development of cutting-edge quantum technology while providing education and training for students, from K-12 to graduate school, to become the quantum scientists and engineers needed to develop a sustainable quantum information technology future of the US.Technical description:Cold neutral atoms have emerged as a prime contender for various quantum information processing tasks due to exquisite control and reproducibility, but still face many challenges, such as combining multiple setups to build improved quantum sensor networks and realizing analog atomic quantum information processing. The goal of this project is to build a QISE research and education hub at UT-Dallas based on neutral atom quantum platforms. The project includes three research thrusts: i) Quantum networks of sensors with neutral atoms in optical tweezer arrays; ii) Analog quantum signal processing and sensing using an atomtronics approach with ultracold atomic physics; iii) Quantum simulation and computation with intermediate scale neutral atom quantum computers. These research projects can significantly advance the field of QISE through building a powerful neutral atom quantum sensor network for probing non-local physical quantities, engineering novel atomtronics circuits for analog quantum signal processing, and understanding complex quantum dynamics utilizing many-body physics and quantum circuit design techniques.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.

非技术性描述：信息技术是现代科学技术的主要推动力，在过去的世纪里推动了人类文明的发展。量子信息技术建立在量子力学的基本原理上，如叠加和纠缠，可以解决当前经典信息技术难以解决的重要问题。该中心的研究预计将彻底改变计算和通信技术，产生深远的社会影响。美国量子信息技术发展的成功需要建立一个富有成效和可持续的量子信息科学与工程（QISE）社区，该社区涉及许多美国研究，教育和劳动力发展机构。该项目扩展了德克萨斯大学达拉斯分校（UT-达拉斯）目前的小规模量子研究工作，以建立一个强大的QISE社区，为德克萨斯州和美国服务。该项目的主要研究和教育组成部分包括：i）基于控制冷原子的量子网络，传感和模拟研究; ii）多名教师的聘用和长期机构支持; iii）建立QISE本科未成年人和研究生硕士课程; iv）通过与工业合作伙伴和建立全国性量子信息中心的合作，开展量子劳动力开发和推广活动。这些活动使尖端量子技术的发展成为可能，同时为学生提供教育和培训，从K-12到研究生院，成为开发美国可持续量子信息技术未来所需的量子科学家和工程师。技术描述：冷中性原子由于其精细的控制和可再现性，已经成为各种量子信息处理任务的主要竞争者，但仍然面临许多挑战，如结合多种设置构建改进的量子传感器网络，实现模拟原子量子信息处理等。该项目的目标是在UT达拉斯建立一个基于中性原子量子平台的QISE研究和教育中心。该项目包括三个研究方向：i）在光镊阵列中具有中性原子的传感器量子网络; ii）使用超冷原子物理学的原子电子学方法进行模拟量子信号处理和传感; iii）使用中等规模中性原子量子计算机进行量子模拟和计算。这些研究项目可以通过建立一个强大的中性原子量子传感器网络来探测非局域物理量，设计用于模拟量子信号处理的新型原子电子学电路，以及理解复杂的量子动力学，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。

项目成果

Quantum Langevin theory for two coupled phase-conjugated electromagnetic waves

两个耦合相位共轭电磁波的量子朗之万理论

• DOI: 10.1103/physreva.107.053703
• 发表时间: 2023
• 期刊: Physical Review A
• 影响因子: 2.9
• 作者: Jiang, Yue;Mei, Yefeng;Du, Shengwang
• 通讯作者: Du, Shengwang

Strong-coupling magnetophononics: Self-blocking, phonon-bitriplons, and spin-band engineering

强耦合磁声学：自阻塞、声子双三子和自旋带工程

• DOI: 10.1103/physrevb.107.174415
• 发表时间: 2023
• 期刊: Physical Review B
• 影响因子: 3.7
• 作者: Yarmohammadi, M.;Krebs, M.;Uhrig, G. S.;Normand, B.
• 通讯作者: Normand, B.

Universal intrinsic higher-rank spin tensor Hall effect

• DOI: 10.1103/physrevb.107.085410
• 发表时间: 2023-02
• 期刊: Physical Review B
• 影响因子: 3.7
• 作者: Ying Su;Junpeng Hou;Chuanwei Zhang

Distributed Quantum Computing with Photons and Atomic Memories

• DOI: 10.1002/qute.202300007
• 发表时间: 2022-07
• 期刊: Advanced Quantum Technologies
• 影响因子: 4.4
• 作者: E. Oh;Xuanying Lai;J. Wen;Shengwang Du

Search Space Reduction for Efficient Quantum Compilation

减少搜索空间以实现高效的量子编译

• DOI: 10.1145/3583781.3590223
• 发表时间: 2023
• 期刊: GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
• 作者: Srivastava, Amisha;Lu, Chao;Choudhury, Navnil;Arunachalam, Ayush;Basu, Kanad
• 通讯作者: Basu, Kanad