Supervised Learning with Quantum Computers

The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards.

Supervised Learning with Quantum Computers

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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Supervised Learning with Quantum Computers
Language: en
Pages: 287
Authors: Maria Schuld, Francesco Petruccione
Categories: Science
Type: BOOK - Published: 2018-08-30 - Publisher: Springer

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
Machine Learning with Quantum Computers
Language: en
Pages: 312
Authors: Maria Schuld, Francesco Petruccione
Categories: Science
Type: BOOK - Published: 2021-11-18 - Publisher: Springer Nature

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
Quantum Computing and Supervised Machine Learning
Language: en
Pages: 122
Authors: Philips Coleman Ph D
Categories: Science
Type: BOOK - Published: 2021-03-05 - Publisher:

Quantum Cоmрutіng іѕ a new аnd еxсіtіng fіеld аt thе intersection оf mаthеmаtісѕ, computer ѕсіеnсе аnd physics. It соnсеrnѕ a utilization оf quаntum mесhаnісѕ tо іmрrоvе the еffісіеnсу of computation. Hеrе wе present a gеntlе introduction tо ѕоmе оf thе ideas in quаntum computing. The paper begins by motivating thе
Quantum Inspired Computational Intelligence
Language: en
Pages: 506
Authors: Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta
Categories: Computers
Type: BOOK - Published: 2016-09-20 - Publisher: Morgan Kaufmann

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is
Quantum Machine Learning for Supervised Pattern Recognition
Language: en
Pages: 402
Authors: Maria Schuld
Categories: Machine learning
Type: BOOK - Published: 2017 - Publisher:

Books about Quantum Machine Learning for Supervised Pattern Recognition