NRT-QL: Accelerating Quantum-Enabled Technologies

NRT：加速量子使能技术(AQET)从根本上确保通信安全、新材料的设计和合成以及单原子传感都是随着对量子力学现象的理解和控制而加快的技术。在量子技术发展的早期，硬件知识对于软件工程师优化体系结构、高效实现算法和纠正错误至关重要。可扩展量子设备所需的材料突破需要材料和设备科学家以及计算机体系结构工程师接受量子信息培训。这项授予华盛顿大学(UW)的国家科学基金会研究培训奖将通过培训量子信息科学与技术(QIST)跨学科项目的硕士和博士生来满足这些需求。该培训项目预计将为190名学生提供培训，其中包括22名资助的学员，方法是将量子信息(化学、物理、应用数学、材料科学与工程、电气和计算机工程以及计算机科学)、与国家实验室和行业合作伙伴的互动、基于商业云量子计算机的项目学习以及青岛理工大学的实践研究相结合。美国国家实验室和行业(包括初创企业和老牌公司)对美国量子科学家的需求日益增长，以满足目前的劳动力需求。这一需求将通过(1)增加华盛顿大学研究生的QIST知识和技能，(2)通过有效实施有针对性的招聘和保留战略，并将QIST概念引入华盛顿大学的本科课程，增加女性在QIST中的参与，以及(3)从我们最具创新性的课程中开发公开可用的教育材料。实习生计划的核心是“学习、实践、应用”的方法，重点是基于项目的学习。为期15个月的培训计划从三个特定领域的课程之一开始，这些课程不仅提供了QIST概念的基础，而且共同设计提供了跨学科的通用技术词汇。基础课程之后是一个跨学科的基于项目的课程，该课程将利用经典的计算机模拟量子设备以及由行业合作伙伴提供的真实量子设备上的实验。这些资源将有助于教授量子信息实现中的基本概念，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顶峰项目，旨在将新获得的技能应用于现实世界，完成课程。基于项目的学习课程还提供了通过项目的专业发展研讨会练习和提高领导力、管理、团队和沟通技能的机会。成功完成该项目将为MS和博士生在QIST中提供可转录的选项。NSF研究培训(NRT)计划旨在鼓励开发和实施大胆的、具有潜在变革意义的STEM研究生教育培训模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求保持一致的综合实习生模式，在高度优先的跨学科或趋同研究领域对STEM研究生进行有效培训。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。

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.