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Supervised Learning with Quantum Computers

Quantum Science and Technology

Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 22nd Sep 2018
Dimensions: w 156mm h 234mm d 17mm
Weight: 603g
ISBN-10: 3319964232
ISBN-13: 9783319964232
Barcode No: 9783319964232
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Synopsis
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

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"The book is very well written and contains sufficiently many examples and illustrations. The authors make a concerted effort to make the material accessible to both computer science graduates as well as scientists with a quantum physics background. ... The intended audience are thus machine learning scientists that want to explore the quantum approach to their discipline or quantum information scientists that want to enter the field of machine learning." (Andreas Maletti, zbMATH 1411.81008, 2019)