Quantum Computing and Quantum Machine Learning for Engineers and Developers
Book Details
Format
Hardback or Cased Book
ISBN-10
3031982444
ISBN-13
9783031982446
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 2nd, 2025
Print length
675 Pages
Weight
1,238 grams
Dimensions
16.20 x 24.30 x 4.70 cms
Product Classification:
Coding theory & cryptologyCoding theory and cryptologyQuantum physics (quantum mechanics & quantum field theory)Quantum physics (quantum mechanics and quantum field theory)Circuits & componentsElectronics: circuits and componentsAlgorithms & data structuresAlgorithms and data structuresData encryptionMathematical theory of computationMachine learning
Ksh 10,800.00
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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.
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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