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Supervised Learning with Quantum Computers

Supervised Learning with Quantum Computers

Paperback

Series: Quantum Science and Technology

General ComputersPhysics

ISBN10: 303007188X
ISBN13: 9783030071882
Publisher: Springer Nature
Published: Jan 3 2019
Pages: 287
Weight: 0.94
Height: 0.64 Width: 6.14 Depth: 9.21
Language: English

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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