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Quantum Computing and Quantum Machine Learning for Engineers and Developers

Quantum Computing and Quantum Machine Learning for Engineers and Developers

Hardback (27 Aug 2025)

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Publisher's Synopsis

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

Book information

ISBN: 9783031982446
Publisher: Springer Nature Switzerland
Imprint: Springer
Pub date:
Language: English
Number of pages: 513
Weight: -1g
Height: 235mm
Width: 155mm