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Quantum Computing and Quantum Machine Learning for Engineers and Developers
Hardcover
General ComputersProbability & Statistics
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ISBN13: 9783031982446
Publisher: Springer
Published: Oct 2 2025
Pages: 675
Weight: 2.60
Height: 1.71 Width: 2.34 Depth: 12.38
Language: English
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
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