CS 2893 MODERN QUANTUM COMPUTING

This 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.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Minimum Credits: 3
Maximum Credits: 3

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