Machine Learning with Quantum Computers 2nd EditionКНИГИ » ПРОГРАММИНГ
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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Machine Learning with Quantum Computers 2nd Edition 
