NRT-QL: Accelerating Quantum-Enabled Technologies

NRT-QL：加速量子技术

• 批准号: 2021540
• 负责人: Kai-Mei Fu
• 金额: $ 300万
• 依托单位: University of Washington
• 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: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021540&HistoricalAwards=false
• 关键词: NRT; QL; Accelerating; Quantum; Enabled

NRT: Accelerating Quantum-Enabled Technologies (AQET)Fundamentally secure communication, the design and synthesis of new materials, and sensing with single atoms are all technologies that will be accelerated with the understanding and control of quantum mechanical phenomena. In these early days of quantum technology development, hardware knowledge is essential for software engineers to optimize architectures, efficiently implement algorithms, and correct errors. The breakthroughs needed in the materials for scalable quantum devices requires materials and device scientists and computer architecture engineers to be trained in quantum information. This National Science Foundation Research Traineeship award to the University of Washington (UW) will address these needs by training master’s and doctoral students in an interdisciplinary program in quantum information science and technology (QIST). The traineeship anticipates providing training to one hundred and ninety (190) students including twenty-two (22) funded trainees, by combining disciplines in quantum information (chemistry, physics, applied mathematics, materials science & engineering, electrical and computer engineering, and computer science), interactions with national laboratories and industry partners, project-based learning on commercially available cloud quantum computers, and hands-on research in QIST. There is a growing national need for US quantum scientists to meet the current workforce demands from US national laboratories and industries (including startups and established companies). This need will be met by (1) increasing UW graduate students’ QIST knowledge and skills, (2) increasing the participation of women in QIST by effectively implementing targeted recruitment and retention strategies and introduction of QIST concepts into UW’s undergraduate curricula, and (3) developing publicly available educational materials from our most innovative courses. At the core of the traineeship program is the “learn, practice, apply” approach with a heavy emphasis on project-based learning. The 15-month training program begins with one of three domain-specific courses that provides not only a foundation in QIST concepts but are also co-designed to provide a common technical vocabulary across disciplines. The foundational course is followed by an interdisciplinary project-based course that will utilize classical computer simulations of quantum devices as well as experiments on real quantum devices, provided by industry partners. These resources will help teach essential concepts in quantum information implementations while solidifying student’s theoretical understanding of QIST. An advanced-topics course and interdisciplinary team capstone project designed to apply the newly acquired skills to real-world applications complete the curriculum. The project-based learning curriculum also provides the opportunity to practice and improve leadership, management, team and communication skills through the program’s professional development workshops. Successful completion of the program results in a transcriptable option in QIST for both MS and PhD students. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

NRT：加速支持量子的技术（AQET）从根本上安全的通信，新材料的设计和合成以及对单个原子的敏感性都是所有技术，这些技术都将通过对量子机械现象的理解和控制来加速。在量子技术开发的早期，硬件知识对于软件工程师优化体系结构，有效实施算法和正确错误至关重要。可伸缩量子设备所需的材料中需要的突破需要材料和设备科学家以及计算机建筑工程师接受量子信息的培训。这项国家科学基金会研究授予华盛顿大学（UW）将通过培训硕士学位和博士生在量子信息科学技术（QIST）的跨学科计划中解决这些需求。学员们预计，通过结合量子信息（化学，物理，应用数学，材料科学与工程，电气和计算机工程和计算机科学）的量子学科，与国家实验室和工业伙伴的互动，基于项目的研究和clind clouds的互动。国家对美国量子科学家的需求越来越大，以满足美国国家实验室和行业（包括初创公司和成熟公司）的当前劳动力需求。 （1）增加UW研究生的质疑知识和技能，（2）通过有效地实施目标招聘和保留策略以及将质疑概念引入UW的本科课程中，以及（3）从我们最具创新性的校园中开发出公共可用的教育材料，从而增加了妇女参与QIST的需求。实习计划的核心是“学习，实践，应用”方法，重点是基于项目的学习。 15个月的培训计划始于三个特定领域的课程之一，该课程不仅为质疑概念提供了基础，而且还共同设计了跨学科的通用技术词汇。基础课程之后是基于项目的跨学科课程，该课程将利用量子设备的经典计算机模拟以及行业合作伙伴提供的实际量子设备的实验。这些资源将有助于教授量子信息实施中的基本概念，同时巩固学生对QIST的理论理解。一个高级主题课程和跨学科团队的顶峰项目旨在将新获得的技能应用于现实世界的应用程序完成课程。基于项目的学习课程还提供了通过计划的专业发展研讨会来实践和提高领导力，管理，团队和沟通技巧的机会。该计划的成功完成会导致MS和PhD学生的QIST可转录选项。 NSF研究训练（NRT）计划旨在鼓励开发和实施用于STEM研究生教育培训的大胆，新的潜在变革模型。该计划致力于通过全面的跨学科或收敛性研究领域的STEM研究生进行有效培训，通过全面的培训模型，这些模型具有创新，基于循证的，并且与不断变化的劳动力和研究需求保持一致。该奖项反映了NSF的法定使命，并通过使用基金会的知识优点和广泛的影响来评估NSF的法定任务，并被认为是宝贵的支持。