This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor’s and Grover’s) and state-of-the-art machine learning methods. By illustrating how these concepts apply to everyday engineering challenges, ranging from complex optimization and cryptography to high-fidelity simulations, the authors equip readers with the tools they need to develop and deploy quantum-based solutions.  Incorporating practical case studies, industry-standard platforms, and tested pedagogical approaches, this resource speaks to both academic researchers and industry professionals, enabling them to seamlessly integrate quantum technologies into their projects and workflows.

• Draws on content rigorously tested at the PhD level, ensuring both scholarly depth and practical relevance;
• Features comprehensive coverage of quantum algorithms and machine learning methods tailored to engineering problems;
• Provides a hands-on, practice-oriented framework using industry-standard platforms: Qiskit, Cirq, and PennyLane.