Quantum Computing and Quantum Machine Learning for Engineers and Developers

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

Author: Jesse Van Griensven Thé,Roydon Andrew Fraser,Jose Rosas-Bustos
Binding Type: Hardcover
Publisher: Springer
Published: 10/02/2025
Pages: 675
Weight: 2.6lbs
Size: 12.38h x 2.34w x 1.71d
ISBN: 9783031982446