Q-BEAST: A Practical Course on Experimental Evaluation and Characterization of Quantum Computing Systems
Minh Chung, Yaknan Gambo, Burak Mete, Xiao-Ting Michelle To, Florian Krötz, Korbinian Staudacher, Martin Letras, Xiaolong Deng, Mounika Vavilala, Amir Raoofy, Jorge Echavarria, Luigi Iapichino, Laura Schulz, Josef Weidendorfer, Martin Schulz
量子计算(QC)有望成为一项变革性技术,对各种应用领域产生影响,如优化、密码学和材料科学。 然而,该技术具有清晰的学习曲线,量子系统的实际评估和表征仍然复杂而具有挑战性,特别是对于从计算机科学到量子计算领域的学生和新人来说。 为了解决这一教育差距,我们介绍了Q-BEAST,这是一个实用的课程,旨在提供量子计算系统实验分析的结构化培训。 Q-BEAST提供的课程,将量子计算的基础概念与实际量子系统的基准和性能评估的实用方法和用例相结合。 通过理论教学和动手实验,学生在评估真实量子技术的优势和局限性方面获得经验。 为此,Q-BEAST支持下一代量子计算用户和开发人员的教育。 此外,它还明确促进了高性能计算(HPC)和QC在研究和教育方面的更深层次的整合。
Quantum computing (QC) promises to be a transformative technology with impact on various application domains, such as optimization, cryptography, and material science. However, the technology has a sharp learning curve, and practical evaluation and characterization of quantum systems remains complex and challenging, particularly for students and newcomers from computer science to the field of quantum computing. To address this educational gap, we introduce Q-BEAST, a practical course designed to...
