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Machine Learning with Quantum Computers

Machine Learning with Quantum Computers

Hardcover

Series: Quantum Science and Technology

General ComputersPhysicsProbability & Statistics

ISBN10: 3030830977
ISBN13: 9783030830977
Publisher: Springer
Published: Oct 18 2021
Pages: 312
Weight: 1.40
Height: 0.75 Width: 6.14 Depth: 9.21
Language: 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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