Collaborative Research: NRT-QL: A Program for Training a Quantum Workforce

合作研究：NRT-QL：量子劳动力培训计划

• 批准号: 2125899
• 负责人: Lincoln Carr
• 金额: $ 225.68万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125899&HistoricalAwards=false
• 关键词: Collaborative; Research; NRT; QL; Program

Recent progress in quantum information science and technology (QIST) promises advances that will fundamentally reshape today’s leading technologies, including computing, communications, and sensing. A well-prepared workforce is essential to fulfilling this promise. In response to this critical workforce need, this National Science Foundation Research Traineeship (NRT) award to the Colorado School of Mines (Mines) and San Jose State University (SJSU) supports the development of rigorous, integrated, interdisciplinary training programs preparing both Master’s and Doctoral students for careers in QIST. The program has three components that address key challenges in training a quantum workforce. First, new training materials will be developed to introduce QIST basics to students from different disciplines. Trainees will come from physics, electrical engineering, metallurgical and materials engineering, applied mathematics and statistics, computer science, and quantum engineering. Second, industrial and national lab partners will be engaged to provide trainees access to cutting-edge technologies and research experiences. Finally, student recruitment and mentoring programs, unconscious bias training, ally workshops, and regular climate surveys will be developed to ensure diversity in the QIST workforce. The project will train one-hundred and twenty-five (125) MS and Ph.D. students, including thirty-five (35) fully-funded trainees. These efforts will result in an institutionalized program that produces leaders in QIST for careers in academia, industry, government, and national labs.The research program addresses three grand challenges in quantum technology: (1) How can demonstrable quantum speed-up using existing or near-term quantum computing architectures be achieved? (2) How can materials and electrical engineering interface with quantum technology to provide meaningful advances in device development and fabrication? (3) How can new directions in quantum algorithms advance and challenge the notion that quantum technology can solve problems that are impossible to tackle with conventional technology? These interdisciplinary research challenges require close synergy between fundamental physics, materials science, electrical engineering, and algorithm development. New courses and degree pathways in QIST are being developed at both Mines and SJSU, which include integration of professional skills development into the graduate curriculum. Through classroom training and research, trainees will be exposed to the full range of quantum technology architectures, providing a holistic view of this rapidly developing field. An innovative educational agreement between Mines and SJSU will provide opportunities for students to complete an MS/Ph.D. bridge program from SJSU to Mines. The program will result in a template for QIST graduate education, which will be accessible to STEM students from all backgrounds and types of institutions, increasing diversity in QIST. 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.

量子信息科学与技术 (QIST) 的最新进展有望从根本上重塑当今的领先技术，包括计算、通信和传感。为了满足这一关键的劳动力需求，准备充分的劳动力至关重要。科罗拉多矿业学院 (Mines) 和圣何塞州立大学 (SJSU) 获得美国国家科学基金会研究实习 (NRT) 奖项，支持制定严格、综合、跨学科的培训计划，为硕士和博士生在 QIST 的职业生涯做好准备。该计划由三个部分组成，旨在解决培训量子劳动力方面的主要挑战，首先，将开发新的培训材料，向来自不同学科的学生介绍 QIST 基础知识。其次，工业和国家实验室合作伙伴将参与为学员提供尖端技术和研究经验。最后，学生招募和指导计划、无意识偏见培训、盟友研讨会和定期氛围。将开展调查以确保多样性该项目将培训一百二十五 (125) 名硕士和博士生，其中包括三十五 (35) 名全额资助的学员。 QIST 面向学术界、工业界、政府和国家实验室的职业。该研究计划解决了量子技术中的三大挑战：(1) 如何使用现有或近期的量子计算架构实现可证明的量子加速？怎么可以材料和电气工程与量子技术的结合，为设备开发和制造提供有意义的进步（3）量子算法的新方向如何推进并挑战量子技术可以解决传统技术无法解决的问题的观念？研究挑战需要基础物理学、材料科学、电气工程和算法开发之间的密切配合，矿山和 SJSU 正在开发 QIST 的新课程和学位途径，其中包括通过课堂培训将专业发展技能整合到研究生课程中。和研究，学员将接触到全方位的量子技术架构，提供对这个快速发展领域的全面了解。矿业大学和 SJSU 之间的创新教育协议将为学生提供完成从 SJSU 到矿业大学的硕士/博士学位课程的机会。在 QIST 研究生教育模板中，来自所有背景和类型机构的 STEM 学生都可以使用该模板，增加 QIST 的多样性。 NSF 研究实习 (NRT) 计划旨在鼓励大胆的、新的、具有变革性的项目的开发和实施。模型为STEM 研究生教育培训项目致力于通过创新、循证且符合不断变化的劳动力和研究需求的综合培训模式，对高度优先的跨学科或融合研究领域的 STEM 研究生进行有效培训。该奖项反映了 NSF 的法定规定。使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。