Quantum Computing System Design. 3 credits

Catalog description

Quantum computing is an emerging and promising technology that can be used to solve complex problems that are beyond the capability of classical computing. This course centers on quantum system-level optimization, guiding students through the end-to-end workflow—from designing quantum algorithms for specific applications, to synthesizing them into quantum circuits, and compiling those circuits for execution on quantum devices. The curriculum spans essential mathematical foundations, quantum logic gates, quantum machine learning, circuit optimization, noise modeling, and error mitigation techniques. Emphasizing hands-on programming and system integration, students will develop practical skills through team-based research projects and presentations. By the end of the course, students will gain a deep understanding of both theoretical concepts and practical system-level challenges in quantum computing, preparing them to contribute effectively to this rapidly evolving field. Offered by College of Science . May not be repeated for credit.