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[PUBDB-2025-00796]
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Julian, M. M. ; Slebodnick, C. ; Julian, F. T.
Foundations of crystallography with computer applications
Milton : Taylor & Francis : 3rd edition, 525 pages (2024)2024
Taking a straightforward, logical approach that emphasizes symmetry and crystal relationships, this successful textbook provides a thorough explanation of the topic for students studying the solid state in chemistry, physics, materials science, geological sciences, and engineering
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[PUBDB-2025-00769]
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Schuld, M. ; Petruccione, F.
Machine learning with quantum computers
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks [...]
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