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.