CS2893
MODERN QUANTUM COMPUTING
FALLSPRINGSUMMER
Course DescriptionThis course introduces modern quantum computing theories and experiments for graduate and advanced undergraduate students in Computer Science, SCI, and related fields. It covers essential topics, including 1. basic quantum computing concepts using linear algebra, 2. variational quantum algorithms, 3. quantum optimization and quantum machine learning with coding exercises, 4. practical quantum error correction techniques, and 5. post-quantum cryptography. Students will gain hands-on skills, enabling them to conduct research on real-world quantum applications using emerging quantum technologies.
Credits:3
View this course on Pitt's WebsiteTestimonials
Testimonial List Placeholder
