Machine Learning in Quantum Sciences
portes grátis
Machine Learning in Quantum Sciences
Arnold, Julian; Gresch, Alexander; Plodzien, Marcin; Nicoli, Kim A.; Stornati, Paolo; Koch, Rouven; Requena, Borja; Donatella, Kaelan; Buettner, Miriam; Dawid, Anna
Cambridge University Press
04/2025
Dura
9781009504935
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface; Acknowledgments; List of acronyms; Nomenclature; 1. Introduction; 2. Basics of machine learning; 3. Phase classification; 4. Gaussian processes and other kernel methods; 5. Neural-network quantum states; 6. Reinforcement learning; 7. Deep learning for quantum sciences-selected topics; 8. Physics for deep learning; 9. Conclusion and outlook; A. Mathematical details on principal component analysis; B. Derivation of the kernel trick; C. Choosing the kernel matrix as the covariance matrix for a Gaussian process; References; Index.
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Preface; Acknowledgments; List of acronyms; Nomenclature; 1. Introduction; 2. Basics of machine learning; 3. Phase classification; 4. Gaussian processes and other kernel methods; 5. Neural-network quantum states; 6. Reinforcement learning; 7. Deep learning for quantum sciences-selected topics; 8. Physics for deep learning; 9. Conclusion and outlook; A. Mathematical details on principal component analysis; B. Derivation of the kernel trick; C. Choosing the kernel matrix as the covariance matrix for a Gaussian process; References; Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
