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Quantum Machine Learning, Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti


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Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
Название:  Quantum Machine Learning
ISBN: 9783110670646
Издательство: Walter de Gruyter
Классификация:




ISBN-10: 311067064X
Обложка/Формат: Hardback
Страницы: 131
Вес: 0.48 кг.
Дата издания: 08.06.2020
Серия: Computing & IT
Язык: English
Размер: 252 x 175 x 15
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures,Artificial intelligence,Computer networking & communications,Quantum physics (quantum mechanics & quantum field theory), COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Information Technology,COMPUTERS / Intellig
Поставляется из: Германии
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples


Introduction to quantum mechanics

Автор: Griffiths, David J. (reed College, Oregon) Schroet
Название: Introduction to quantum mechanics
ISBN: 1107189632 ISBN-13(EAN): 9781107189638
Издательство: Cambridge Academ
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Цена: 8710.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This widely-used and time-tested textbook is indispensable for teachers and students of quantum mechanics, one of the essential foundations of modern physics. It is also useful as a reference for those in related fields (engineering, mathematics, chemistry), or for self-study by non-professionals.

Molecular Quantum Mechanics

Автор: Atkins Peter W
Название: Molecular Quantum Mechanics
ISBN: 0199541426 ISBN-13(EAN): 9780199541423
Издательство: Oxford Academ
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Цена: 12987.00 р.
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Описание: Quantum mechanics embraces the behaviour of all known forms of matter, including the atoms and molecules from which we, and all living organisms, are composed. Molecular Quantum Mechanics leads us through this absorbing yet challenging subject, exploring the fundamental physical principles that explain how all matter behaves.

The Quantum Theory of Fields, v.2

Автор: Weinberg
Название: The Quantum Theory of Fields, v.2
ISBN: 0521670543 ISBN-13(EAN): 9780521670548
Издательство: Cambridge Academ
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Цена: 7920.00 р.
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Описание: The Quantum Theory of Fields, first published in 1996, is a self-contained, comprehensive introduction to quantum field theory from Nobel Laureate Steven Weinberg. Volume II gives an account of the methods of quantum field theory.

Geometry of Quantum States

Автор: Bengtsson Ingemar
Название: Geometry of Quantum States
ISBN: 1107026253 ISBN-13(EAN): 9781107026254
Издательство: Cambridge Academ
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Цена: 13779.00 р.
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Описание: The second edition of a book that has become a standard reference for researchers working on geometric aspects of quantum entanglement and quantum theory of information. Its comprehensive style makes it suitable for students of physics, information science, and mathematics wishing to learn more about quantum mechanics and quantum entanglement.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Quantum theory of light

Автор: Loudon, Rodney
Название: Quantum theory of light
ISBN: 0198501765 ISBN-13(EAN): 9780198501763
Издательство: Oxford Academ
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Цена: 10454.00 р.
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Описание: Provides an introduction to quantum optics, the study of optical effects that cannot be explained by classical theory. The main concern of this book is the theoretical background to the key experiments in quantum optics. It is meant for postgraduate students and research workers, as well as final-year undergraduates.

An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Quantum Machine Learning: What Quantum Computing Means to Data Mining

Автор: Wittek Peter
Название: Quantum Machine Learning: What Quantum Computing Means to Data Mining
ISBN: 0128100400 ISBN-13(EAN): 9780128100400
Издательство: Elsevier Science
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Цена: 11789.00 р.
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Описание: Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. . Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications.

The theory of quantum information

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Quantum Computer Science

Автор: N. David Mermin
Название: Quantum Computer Science
ISBN: 0521876583 ISBN-13(EAN): 9780521876582
Издательство: Cambridge Academ
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Цена: 8710.00 р.
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Описание: Quantum physics has some spectacular applications in computer science, and this book is a concise introduction to quantum computation. It develops the basic elements of computational theory without assuming any background in physics, and so is ideal for computer scientists who know nothing about quantum theory.

Principles of quantum mechanics

Автор: Dirac, P.a.m.
Название: Principles of quantum mechanics
ISBN: 0198520115 ISBN-13(EAN): 9780198520115
Издательство: Oxford Academ
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Цена: 9029.00 р.
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Описание: Helps to learn how you can become a player in the market for new housing. This guide shows you how to find and acquire prime properties that are true diamonds in the rough. It also helps to learn the factors that determine whether you`ve got a good deal: engineering surveys, grading, water availability and drainage, utilities, traffic, and more.

Quantum Computation and Quantum Information

Автор: Nielsen
Название: Quantum Computation and Quantum Information
ISBN: 1107002176 ISBN-13(EAN): 9781107002173
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: A decade after it was first published, this book remains the best textbook in this exciting field. This 10th anniversary edition includes an introduction from the authors setting the work in context. Containing a wealth of figures and exercises, it is ideal for courses on the subject.


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