In Semester 1, the course focuses on laying the foundational knowledge and skills necessary for
understanding quantum computing. Students explore fundamental concepts such as qubits, quantum gates, and
basic quantum algorithms. Through these topics, students strengthen their physics, math, and computer
science skills.
Semester 2 builds upon this foundation by exploring near-term quantum computing,
delving deeper into
advanced topics and practical applications of quantum computing, including an understanding of quantum
hardware and current applications. Additionally, Semester 2 introduces students to the mathematical
underpinnings of quantum computing and explores advanced topics such as quantum networking, sensing, and
machine learning. The semester culminates in a Capstone Project where students apply their knowledge and
skills to showcase their understanding of quantum computing concepts.