Quantum Computing and Quantum Machine Learning for Engineers and Developers

Van Griensven Thé, Jesse; Fraser, Roydon Andrew; Rosas-Bustos, Jose

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

Details

Published by: Springer

Publication Date: 2025-10-02

Format: Hardcover

ISBN-13: 9783031982446

DOI: 10.1007/978-3-031-98245-3

Dimensions: 235cm x155cm

Pages: 675