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

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: 58070.00 T
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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.

Автор: Weinberg
Название: The Quantum Theory of Fields, v.2
ISBN: 0521670543 ISBN-13(EAN): 9780521670548
Издательство: Cambridge Academ
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Цена: 52800.00 T
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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.

Автор: Atkins Peter W
Название: Molecular Quantum Mechanics
ISBN: 0199541426 ISBN-13(EAN): 9780199541423
Издательство: Oxford Academ
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Цена: 86580.00 T
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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.

Автор: Bengtsson Ingemar
Название: Geometry of Quantum States
ISBN: 1107026253 ISBN-13(EAN): 9781107026254
Издательство: Cambridge Academ
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Цена: 91860.00 T
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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.

Автор: Dirac, P.a.m.
Название: Principles of quantum mechanics
ISBN: 0198520115 ISBN-13(EAN): 9780198520115
Издательство: Oxford Academ
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Цена: 60190.00 T
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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.

Автор: Nielsen
Название: Quantum Computation and Quantum Information
ISBN: 1107002176 ISBN-13(EAN): 9781107002173
Издательство: Cambridge Academ
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Цена: 63350.00 T
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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.

Автор: Wilde
Название: Quantum Information Theory
ISBN: 1107176166 ISBN-13(EAN): 9781107176164
Издательство: Cambridge Academ
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Цена: 70750.00 T
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Описание: This new edition of Wilde`s popular book promises over 100 pages of new material, exercises and references. New attention is given to the derivation of the Choi-Kraus theorem for quantum channels, the CHSH game, quantum relative entropy, and sequential decoding. The text offers an ideal entry point into the topic for graduate students.

Автор: Stefanos Trachanas
Название: An Introdution to Quantum Physics - A first course for physicists, chemists, materials scientists and engineers
ISBN: 3527412476 ISBN-13(EAN): 9783527412471
Издательство: Wiley
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Цена: 85530.00 T
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Описание: A comprehensive self-contained textbook on quantum physics and chemistry and the structure of matter at the level of an introductory and an intermediate course, with an online supplement that contains review quizzes, theory supplements, and further applications.

Автор: Steeb Willi-Hans & Hardy Yorick
Название: Quantum Mechanics Using Computer Algebra: Includes Sample Programs In C++, Symbolicc++, Maxima, Maple, And Mathematica (2Nd Edition)
ISBN: 9814307165 ISBN-13(EAN): 9789814307161
Издательство: World Scientific Publishing
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Цена: 64410.00 T
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Описание: Solving problems in quantum mechanics is an essential skill and research activity for physicists, mathematicians, engineers and others. This book collects some of the standard and advanced methods in quantum mechanics and implements them using Symbolic C++ and Maxima, two popular computer algebra packages.

Название: Classical and Quantum Computation, Kitaev
ISBN: 0821832298 ISBN-13(EAN): 9780821832295
Издательство: Mare Nostrum (Eurospan)
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Цена: 37620.00 T
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Описание: Presents an introduction to the theory of quantum computing. This book starts with the basics of classical theory of computation: Turing machines, Boolean circuits, parallel algorithms, probabilistic computation, NP-complete problems, and the idea of complexity of an algorithm. It provides an exposition of quantum computation theory.

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 46570.00 T
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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.

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: 78590.00 T
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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.