QUANTUM COMPUTING SYSTEMS

Credit Hours: 3 · Undergraduate Upper-Level

Quantum computing is an emerging field with the potential to revolutionize various industries, including cryptography, scientific computation, optimization, and machine learning. Quantum Computing Algorithms is a course designed to introduce students to the foundations and practical implementations of quantum computing from a systems perspective to equip them for the evolving technological landscape. The course will first refresh students on the required mathematical concepts in linear algebra, probabilities, and statistics. Students will also learn about fundamental quantum principles, including superposition, entanglement, reversibility, interference, and circuits. The course will then delve into advanced quantum algorithms, especially variational and parameterized codes, including search, optimization, and machine learning, and error mitigation and correction concepts. Students will gain hands-on experience with Python-based quantum programming languages, Cirq, and Pennylane, to program current quantum computers. Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558 . Graduate/Undergraduate Equivalency: COMP 558 . Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558 .