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Machine Learning with Quantum Computers

Language EnglishEnglish
Book Paperback
Book Machine Learning with Quantum Computers Maria Schuld
Libristo code: 41602068
Publishers Springer, Berlin, November 2021
This book offers an introduction into quantum machine learning research, covering approaches that ra... Full description
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141.30 €
276.36  лв
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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 scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.

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About the book

Full name Machine Learning with Quantum Computers
Author Maria Schuld, Francesco Petruccione
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 312
EAN 9783030831004
Libristo code 41602068
Publishers Springer, Berlin
Weight 499
Dimensions 155 x 235 x 18

Categories

Mathematics & Science > Physics > Quantum physics (quantum mechanics & quantum field theory)
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