Quantum Computing and Quantum Machine Learning for Engineers and Developers - Jose Rosas-Bustos,Jesse van Griensven Thé,Roydon Andrew Fraser
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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. 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 ... Full description
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Description
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
More Information
| Author | Jose Rosas-Bustos, Jesse van Griensven Thé, Roydon Andrew Fraser |
|---|---|
| Publisher | Springer International Publishing AG |
| Release year | 2025 |
| Cover type | Hardcover |
| EAN | 9783031982446 |