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Quantum Machine Learning: Theory, Algorithms, and Practical Implementation Hamid D. Ismail
Quantum Machine Learning: Theory, Algorithms, and Practical Implementation
Hamid D. Ismail
Distinctive in both scope and organization, the book integrates mathematical foundations, algorithmic development, software implementation, and emerging research directions within a single coherent framework, making it suitable both as a graduate-level textbook and as a practical reference for researchers working in quantum machine learning.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| To be released | December 8, 2026 |
| ISBN13 | 9781041364511 |
| Publishers | Taylor & Francis Ltd |
| Pages | 492 |
| Dimensions | 150 × 220 × 10 mm · 737 g (Weight (estimated)) |
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