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Machine Learning with Quantum Computers
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Machine Learning with Quantum Computers Paperback - 2022

by Maria Schuld; Francesco Petruccione

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Reader reviews for Machine Learning with Quantum Computers

From the publisher

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.

From the rear cover

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.

Details

  • Title Machine Learning with Quantum Computers
  • Author Maria Schuld; Francesco Petruccione
  • Binding Paperback
  • Pages 312
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2022-10-19
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9783030831004 / 3030831000
  • Weight 1.01 lbs (0.46 kg)
  • Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
  • Category Science

About the author

Maria Schuld works as a researcher for the Toronto-based quantum computing start-up Xanadu. She received her Ph.D. from the University of KwaZulu-Natal in 2017, where she began working on the intersection between quantum computing and machine learning in 2013. Besides her numerous contributions to the field, she is a co-developer for the open-source quantum machine learning software framework PennyLane.

Francesco Petruccione received his Ph.D. (1988) and "Habilitation" (1994) from the University of Freiburg, Germany. Since 2004, he has been a professor of Theoretical Physics at the University of KwaZulu-Natal in Durban, South Africa, where in 2007, he was granted a South African Research Chair for Quantum Information Processing and Communication. He is the co-author of "The Theory of Open Quantum Systems" (Oxford University Press, 2002) and has published more than 250 papers in refereed journals. Francesco Petruccione's research focuses on open quantum systems and quantum information processing and communication.


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Machine Learning with Quantum Computers

Machine Learning with Quantum Computers

by Maria Schuld

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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
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Machine Learning with Quantum Computers
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by Schuld, Maria

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Machine Learning with Quantum Computers (Quantum Science and Technology)
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Machine Learning with Quantum Computers (Quantum Science and Technology)

by Schuld, Maria/ Petruccione, Francesco

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Springer, 2022. Paperback. New. 2nd edition. 326 pages. 9.25x6.10x0.75 inches.
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Machine Learning with Quantum Computers (Quantum Science and Technology)
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Machine Learning with Quantum Computers (Quantum Science and Technology)

by Schuld, Maria

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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Machine Learning with Quantum Computers
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Machine Learning with Quantum Computers

by Maria Schuld

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9783030831004 / 3030831000
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Machine Learning with Quantum Computers (Quantum Science and Technology)
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Machine Learning with Quantum Computers (Quantum Science and Technology)

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ISBN 10 / ISBN 13
9783030831004 / 3030831000
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2nd ed. 2021 edition NO-PA16APR2015-KAP. Papeback. New.
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