CyberTraining: Implementation: Small: Interactive and Integrated Training for Quantum Application Developers across Platforms

随着IBM、IonQ、Rigetti和D-Wave等行业实际量子计算机的发展，量子计算研究在过去几年中迅速发展。然而，工业界和学术界缺乏成熟和有效的跨多学科的劳动力培训计划，最相关的是物理学，计算机和信息科学以及电气工程。该项目旨在提供一个以项目为导向的培训计划，以协助量子计算网络基础设施的科研人员发展，并帮助促进量子计算网络基础设施的广泛采用，以推进基础研究。拟议的培训计划针对对量子计算系统，量子应用，网络物理系统，量子物理，量子化学和量子机器学习感兴趣的学生和早期研究人员，例如本科生，研究生和博士后。与美国能源部国家实验室的长期合作将确保研究界广泛采用量子计算基础设施，以促进重大研究进展，并培训专业网络基础设施贡献者，以优化当前的硬件和软件堆栈。网络培训计划每年将容纳80多名参与尖端研究项目的学员。这些项目将加速采用者和用户了解如何使用量子计算网络基础设施，并使他们能够推进CISE、BIO、ENG和MPS核心领域的研究。该项目以现有知识、数据和工具为基础，为量子计算网络基础设施研究人员的发展创建量身定制的、高影响力的、引人入胜的、协作的综合培训模块。三个培训项目建立在PI和联合PI在量子误差表征和建模，量子硬件系统质量的可视化分析和量子编译器优化以及量子应用可靠性评估方面的创新研究的基础上。每个培训模块将侧重于一个小项目。为了提高学员的设计和实施能力、解决问题的能力和批判性思维能力，培训模块将包括问题背景、文献研究、数据收集和处理、方法、解决方案评估和动手实验等多个课程。拟议培训计划的交付将包括：1)关于“ST：量子计算系统基础”的新课程；2)基于项目的短期课程加上长期的维护和支持；3)基于培训项目的实践指导；4)本科生和研究生毕业项目的多个研究课题。该项目的长期目标是促进来自不同STEM领域的多学科学生和研究人员采用新的量子计算网络基础设施。该奖项由高级网络基础设施办公室颁发，由数学和物理科学理事会物理系的信息前沿物理项目、数学和物理科学理事会的化学部门、计算机和信息科学与工程理事会的计算和通信基础部门以及化学、生物工程、环境、科学和技术部门共同支持。和运输系统的工程局。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。

Along with the evolution of actual quantum computers from industry, like IBM, IonQ, Rigetti, and D-Wave, quantum computing research has rapidly grown in the past few years. However, the industry and academia lack mature and effective workforce training plans for cutting across multiple disciplines, the most relevant being physics, computer and information science, and electrical engineering. The project aims to deliver a project-oriented training program that can assist the scientific research workforce development for quantum computing cyberinfrastructure and help foster broad adoption of quantum computing cyberinfrastructure to advance fundamental research. The proposed training program targets students and early-stage researchers, e.g., undergraduates, graduate students, and postdocs, who are interested in quantum computing systems, quantum applications, cyber-physical systems, Quantum Physics, Quantum Chemistry, and quantum machine learning. A long-term collaboration with DoE national laboratories will ensure broad adoption of quantum computing infrastructure by the research community to catalyze significant research advances and train professional cyberinfrastructure contributors to optimize the current hardware and software stack. The proposed cyber training programs will accommodate 80+ trainees participating in cutting-edge research projects each year. These programs will expedite adopters and users to understand how to use the quantum computing cyberinfrastructure and enable them to advance research in CISE, BIO, ENG, and MPS' core areas.This project builds upon existing knowledge, data, and tools to create tailored, high-impact, engaging, collaborative, and integrated training modules for quantum computing cyberinfrastructure research workforce Development. Three training projects are built upon the PI and co-PI's innovative research on quantum error characterization and modeling, visual analytics of the quality of the quantum hardware system and quantum compiler optimizations, and reliability assessment of the quantum applications. Each training module will focus on one mini-project. With the aim to enhance the trainee's design and implementation capability, problem-solving skills, and critical thinking ability, the training modules will be delivered with multiple lessons on the background of the problem, literature study, data collection and processing, methodology, evaluations of the solutions, and hands-on experiments. The deliveries of the proposed training program will include: 1) a new course on "ST: Fundamentals of Quantum Computing Systems"; 2) a project-based short course plus its long-term maintenance and support; 3) hands-on tutorials based on the training projects; and 4) multiple research topics for undergraduate and graduate capstone projects. The long-term goal of this project is to boost the adoption of new quantum computing cyberinfrastructure to multidisciplinary students and researchers from different STEM domains.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Physics at the Information Frontier program in the Division of Physics within the Directorate for Mathematical and Physical Sciences, the Division of Chemistry in the Directorate for Mathematical and Physical Sciences, the Division of Computing and Communication Foundations in the Computer and Information Science and Engineering Directorate, and the Division of Chemical, Bioengineering, Environmental, and Transport Systems in the Directorate for Engineering.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.