This module introduces students to the fundamentals of quantum computing systems and their current state. It covers the transition from classical bits to quantum bits (qubits), explores QASM (Quantum Assembly Language) and logic gate decomposition, and teaches students how to write basic quantum programs. Students will gain practical experience with quantum computing concepts while establishing a foundation for more advanced topics.

This module focuses on the architectural principles of quantum computing systems. Students learn about program compilation and synthesis techniques, gate scheduling and parallelism optimization, and effective qubit mapping and memory management strategies. The module provides in-depth knowledge of how quantum programs are optimized and executed on quantum hardware, enabling students to design more efficient quantum algorithms.

This module addresses the challenges of working with real-world quantum computing systems, which are inherently noisy. It explores NISQ (Noisy Intermediate-Scale Quantum) algorithms designed for current quantum hardware, examines the characteristics and impact of noise in quantum systems, and teaches noise-aware quantum compiling techniques to mitigate errors. Students will learn practical approaches to optimize quantum programs for execution on imperfect quantum processors.