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Machine Learning with Quantum Computers

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Machine Learning with Quantum Computers - Schuld, Maria, and Petruccione, Francesco
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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 ...

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Machine Learning with Quantum Computers 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030831004

2nd edition 2021

Paperback

Machine Learning with Quantum Computers 2021, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030830977

2nd edition 2021

Hardcover