This introductory module provides the foundational concepts of quantum computing systems and their current state. Students will learn the transition from classical bits to quantum bits (qubits), understand QASM programming language and logic gate decomposition, and develop skills to write basic quantum programs. The module serves as essential groundwork for understanding more complex quantum computing principles.

This module explores the architectural aspects of quantum computing systems, focusing on program compilation and synthesis techniques. Students will learn about gate scheduling and parallelism in quantum circuits, as well as qubit mapping and memory management strategies. The module builds on the foundational concepts to address system-level optimization challenges in quantum computing.

This module addresses the practical challenges of working with current Noisy Intermediate-Scale Quantum (NISQ) systems. Students will learn about NISQ algorithms specifically designed for imperfect quantum hardware, understand the characteristics and impact of noise in quantum systems, and explore noise-aware quantum compiling techniques to mitigate these effects. The module provides essential knowledge for implementing quantum algorithms on real-world quantum computers.