Название: Machine Learning with Quantum Computers 2nd Edition
Автор: Maria Schuld · Francesco Petruccione
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 321
Размер: 10 Mb
Язык: English

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. The book aims at an audience of computer scientists and physicists at the graduate level onwards.



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