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.

量子信息科学技术（QIST）的最新进展有望进步，这将从根本上重塑当今领先的技术，包括计算，通信和敏感性。准备充分的劳动力对于实现这一诺言至关重要。为了应对这一关键的劳动力需求，这项国家科学基金会研究训练（NRT）颁发了科罗拉多州矿业学院（矿山）和圣何塞州立大学（SJSU）（SJSU），支持制定严格的，综合的，跨学科的培训计划，为QIST的职业准备大师和博士生。该计划具有三个组件，可以解决培训量子劳动力方面的关键挑战。首先，将开发新的培训材料，以向来自不同学科的学生介绍质疑基础知识。学员将来自物理，电气工程，冶金和材料工程，应用数学和统计，计算机科学和量子工程。其次，工业和国家实验室合作伙伴将敬业，为受训者提供尖端技术和研究经验的机会。最后，将制定学生招募和心理计划，无意识的偏见培训，盟友研讨会以及定期的气候调查，以确保QIST劳动力的多样性。该项目将培训一百二十五（125）MS和博士学位。学生，包括35名（35）个完全资助的学员。这些努力将导致一项制度化的计划，该计划在学术界，工业，政府和国家实验室中为职业生涯造就QIST的领导者。该研究计划应对量子技术的三个巨大挑战：（1）如何实现使用现有或近端量子计算体系结构的量子加速？ （2）如何使用量子技术材料和电气工程界面来在设备开发和制造方面提供有意义的进步？ （3）量子算法中的新方向如何提高和挑战量子技术可以解决无法解决常规技术无法解决的问题的观念？这些跨学科的研究挑战需要基本物理学，材料科学，电气工程和算法开发之间的紧密协同作用。 QIST的新课程和学位途径都在矿山和SJSU开发，其中包括将专业技能开发整合到研究生课程中。通过课堂培训和研究，受训者将暴露于各种量子技术体系结构，从而为这个快速发展的领域提供了整体视野。矿山和SJSU之间的创新教育协议将为学生提供MS/Ph.D的机会。从SJSU​​到矿山的桥梁计划。该计划将导致Qist研究生教育的模板，该模板将为来自各种背景和类型的机构的Stem学生提供，从而增加了Qist的多样性。 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。