NRT-QL: Accelerating Quantum-Enabled Technologies

NRT：加速量子赋能技术（AQET）从根本上保证通信安全，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速发展的技术。在量子技术发展的早期，硬件知识对于软件工程师优化架构、有效实现算法和纠正错误至关重要。可扩展量子器件所需材料的突破需要材料和器件科学家以及计算机架构工程师接受量子信息方面的培训。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在量子信息科学与技术（QIST）的跨学科项目中培训硕士和博士生来满足这些需求。通过结合量子信息学科（化学、物理、应用数学、材料科学与工程、电气与计算机工程和计算机科学）、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，以及在QIST的实践研究，该培训计划预计将为190名学生提供培训，其中包括22名受资助的学员。美国对量子科学家的需求日益增长，以满足美国国家实验室和行业（包括初创公司和老牌公司）当前的劳动力需求。这一需求将通过以下方式得到满足：(1)提高西澳大学研究生的QIST知识和技能；(2)通过有效实施有针对性的招聘和保留策略，并将QIST概念引入西澳大学的本科课程，增加女性在QIST的参与；(3)从我们最具创新性的课程中开发可公开获取的教育材料。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。这个为期15个月的培训计划从三个领域特定课程中的一个开始，这些课程不仅提供了QIST概念的基础，而且还共同设计了跨学科的通用技术词汇表。基础课程之后是跨学科的基于项目的课程，该课程将利用经典的量子设备计算机模拟以及由行业合作伙伴提供的真实量子设备实验。这些资源将有助于教授量子信息实现的基本概念，同时巩固学生对QIST的理论理解。高级主题课程和跨学科团队顶点项目旨在将新获得的技能应用于实际应用，完成课程。以项目为基础的学习课程还通过项目的专业发展研讨会提供了实践和提高领导、管理、团队和沟通技能的机会。成功完成该计划的结果是QIST的硕士和博士学生的转录选项。美国国家科学基金会研究实习生（NRT）计划旨在鼓励开发和实施大胆的、具有潜在变革性的STEM研究生教育培训新模式。该项目致力于通过创新、循证、适应不断变化的劳动力和研究需求的综合培训模式，在高优先级跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.