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 Kr\"otz, Korbinian Staudacher, Martin Letras, Xiaolong Deng, Mounika Vavilala, Amir Raoofy, Jorge Echavarria, Luigi Iapichino, Laura Schulz, Josef Weidendorfer, Martin Schulz

TL;DR
Q-BEAST is a practical educational course that teaches students how to experimentally evaluate and characterize quantum computing systems, bridging the gap between theory and real-world application.
Contribution
It introduces a structured curriculum combining quantum computing fundamentals with practical benchmarking and evaluation methodologies for quantum systems.
Findings
Enhanced student understanding of quantum system evaluation
Practical methodologies for benchmarking quantum hardware
Promotion of HPC and QC integration in education
Abstract
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 provide structured training in the experimental analysis of quantum computing systems. Q-BEAST offers a curriculum that combines foundational concepts in quantum computing with practical methodologies and use cases for benchmarking and performance evaluation on actual quantum systems. Through theoretical instruction and hands-on experimentation, students gain experience in assessing the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture
