Quantum Computing and Quantum Machine Learning for Engineers and Developers

By: Van Griensven Thé, Jesse

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 workflow

• Format: Hardcover
• Language: English
• ISBN: 3031982444
• ISBN13: 9783031982446
• Release Date: October 2025
• Publisher: Springer
• Length: 712 Pages
• Weight: 2.60 lbs.
• Dimensions: 1.7" x 2.3" x 12.4"