Quantum Computing Algorithms

This course focuses on understanding and implementing the major algorithms of quantum computing, including analysis of their use cases, as well as error correction. In this course, students will get hands-on experience coding quantum algorithms. Topics covered include: a review of phase kickback and basic algorithms, quantum teleportation, superdense coding, quantum Fourier transform, quantum phase estimation, Shor's algorithm, Grover's algorithm, error correction, and other advanced topics. Graduate students will study in greater depth complexity of algorithms and their use cases. This 5000-level course is cross-listed with a 4000-level course and includes specific graduate course requirements which reflect appropriate deeper learning experiences and rigor in the higher-level course.