Convergence QL: Workshop Series: Cross- Sector Connections in Quantum Leap

Convergence QL：研讨会系列：量子飞跃中的跨部门连接

• 批准号: 1747426
• 负责人: David Awschalom
• 金额: $ 159.83万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747426&HistoricalAwards=false
• 关键词: Convergence; QL; Workshop; Series; Cross

Non-Technical Abstract:Quantum Information Science and Engineering (QISE) has made remarkable progress, heralding promise for revolutionary new technologies in quantum sensing, communication, computation and cryptography. Recent advances bring the promise of QISE into marketable technologies with the potential for a sustained and profound societal impact. A successful technology leap requires investment in a trained workforce adept in the basic quantum sciences as well as proficient in the necessary engineering fields, informed about the broader issues of developing quantum science into marketable quantum devices. This is an optimal time to explore new, more effective ways of coupling academic and industrial research programs, promoting convergence of disciplines, resources and sectors in this endeavor. This project addresses these issues by developing a series of workshops constituting the QISE Network (QISE-NET): a community of tightly integrated university-industry partners, focused on leading-edge QISE projects. These associates comprise three-person teams of university faculty, industrial researchers, and a graduate student serving as the pivotal component of the group. QISE-NET serves as a model for a new approach to graduate student education as well as truly collaborative university-industry interactions, including the selection of projects, yearly workshops, and student mentoring activities. The program creates new employment opportunities for students along with company positions and start-up ventures. This Project promotes Convergence by offering a way to educate, train and nurture a cohort of industry-academia partnerships between the convergent disciplines of Materials Science Theory, Materials Science Experiment, Device Engineering, Physics, Chemistry, Computer Science, and Industrial Research.Technical Abstract: This activity helps to create a distinctive and critically-needed intellectual infrastructure for students studying the convergent QISE disciplines. By linking the talents, resources and approaches of both the academic and industrial environment, QISE-NET is able to create and leverage an intellectually broad community of researchers to generate the new science, engineering and marketable QISE technologies of the future. By demonstrating how students' academic work can be enabled and broadened through access to the resources, systems and team-based approaches available in industrial research laboratories, QISE-NET establishes new models of university-industry collaboration, while providing a more cogent program for graduate student education in QISE. Proposals are submitted through a program website, and announced using broad electronic distribution through academic and professional society organizations, as well as through corporate network distribution. They are evaluated by an external advisory board consisting of academic and industrial researchers spanning a broad range of science and technology. Yearly workshops form the principal means of communications among the various projects and serve to knit the network. Participants share research results, and understand the different best practices that produce effective interactions. An education specialist from a NSF center conducts independent, anonymous assessments from the participants, and provides a mechanism to improve the effectiveness of both the program and workshops. The QISE-NET will generate outstanding, leading-edge scientific results with applicability to new, marketable technologies, and serve to strengthen collaborations between academia and industry. This Project promotes Convergence by offering a way to educate, train and nurture a cohort of industry-academia partnerships between the convergent disciplines of Materials Science Theory, Materials Science Experiment, Device Engineering, Physics, Chemistry, Computer Science, and Industrial Research.

非技术摘要：量子信息科学与工程(QISE)取得了显著的进步，预示着量子传感、通信、计算和密码学领域的革命性新技术的前景。最近的进展将QISE的前景带入了可销售的技术，具有持续和深远的社会影响的潜力。成功的技术飞跃需要投资于一支训练有素的劳动力队伍，他们精通基础量子科学，精通必要的工程领域，了解将量子科学发展成适销对路的量子设备的更广泛问题。现在是探索新的、更有效的方式将学术研究项目和工业研究项目结合起来的最佳时机，促进学科、资源和部门在这一努力中的融合。该项目通过举办一系列研讨会来解决这些问题，这些研讨会组成了QISE网络(QISE-Net)：这是一个紧密结合的大学-行业合作伙伴社区，侧重于前沿的QISE项目。这些合伙人由大学教师、工业研究人员和一名研究生组成的三人团队组成，他们是该团队的关键组成部分。QISE-Net作为研究生教育的新方法以及真正协作的大学-行业互动的典范，包括项目选择、年度研讨会和学生指导活动。该项目为学生创造了新的就业机会，以及公司职位和初创企业。这个项目通过提供一种方法来促进融合，提供一种方法来教育、培训和培育材料科学理论、材料科学实验、设备工程、物理、化学、计算机科学和工业研究等融合学科之间的产业界合作伙伴关系。技术摘要：该活动有助于为学习融合QISE学科的学生创建一个独特和迫切需要的智力基础设施。通过将学术和工业环境的人才、资源和方法联系起来，QISE-Net能够创造和利用一个智力广泛的研究人员社区，以产生未来新的科学、工程和可销售的QISE技术。通过展示如何通过访问工业研究实验室提供的资源、系统和基于团队的方法来实现和扩大学生的学术工作，QISE-Net建立了新的校企合作模式，同时为QISE的研究生教育提供了更有说服力的课程。提案通过一个计划网站提交，并通过学术和专业社会组织以及公司网络分发，使用广泛的电子分发方式宣布。它们由一个外部咨询委员会进行评估，该委员会由广泛的科学和技术领域的学术和工业研究人员组成。年度讲习班是各项目之间交流的主要手段，也是编织网络的主要手段。参与者分享研究结果，并了解产生有效互动的不同最佳实践。来自NSF中心的教育专家从参与者那里进行独立的、匿名的评估，并提供一种机制来提高计划和研讨会的有效性。QISE-Net将产生适用于新的、可销售的技术的杰出的、尖端的科学成果，并有助于加强学术界和工业界之间的合作。该项目通过提供一种教育、培训和培育材料科学理论、材料科学实验、设备工程、物理、化学、计算机科学和工业研究等交叉学科之间的产业界合作伙伴关系的方法来促进融合。

项目成果

Linear Combination of Hamiltonian Simulation for Nonunitary Dynamics with Optimal State Preparation Cost

非单一动力学哈密顿模拟与最优状态准备成本的线性组合

• DOI: 10.1103/physrevlett.131.150603
• 发表时间: 2023
• 期刊: Physical Review Letters
• 影响因子: 8.6
• 作者: An, Dong;Liu, Jin-Peng;Lin, Lin
• 通讯作者: Lin, Lin

Superfast encodings for fermionic quantum simulation

• DOI: 10.1103/physrevresearch.1.033033
• 发表时间: 2018-10
• 期刊: Physical Review Research
• 影响因子: 4.2
• 作者: Kanav Setia;S. Bravyi;Antonio Mezzacapo;J. Whitfield

High-Contrast Plasmonic-Enhanced Shallow Spin Defects in Hexagonal Boron Nitride for Quantum Sensing

• DOI: 10.1021/acs.nanolett.1c02495
• 发表时间: 2021-09-02
• 期刊: NANO LETTERS
• 影响因子: 10.8
• 作者: Gao, Xingyu;Jiang, Boyang;Li, Tongcang
• 通讯作者: Li, Tongcang

Inverse Design of a Terahertz Quantum Algorithm Emulator

• DOI: 10.1364/cleo_at.2023.jth2a.116
• 发表时间: 2023-05
• 期刊: 2023 Conference on Lasers and Electro-Optics (CLEO)
• 作者: Ashley N. Blackwell;R. Yahiaoui;Yi-Huan Chen;Pai-Yen Chen;Zizwe A. Chase;T. Searles

Fundamental principles for calculating charged defect ionization energies in ultrathin two-dimensional materials

• DOI: 10.1103/physrevmaterials.2.124002
• 发表时间: 2018-08
• 期刊: Physical Review Materials
• 影响因子: 3.4
• 作者: T. Smart;Feng Wu;M. Govoni;Y. Ping