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Beschreibung
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
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 02. Oktober 2025 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 1224 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031982446 |
| Seiten | 675 |
Schlagwörter
Algorithmen und Datenstrukturen, Algorithms, Cryptology, Electronic Circuits and Systems, Kodierungstheorie und Verschlüsselung (Kryptologie), Kryptografie - Verschlüsselungstechnologie, Machine Learning, Maschinelles Lernen, Quantenphysik (Quantenmechanik und Quantenfeldtheorie), Quantum Computing, Schaltkreise und Komponenten (Bauteile), Theoretische Informatik
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