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 Рейтинг: 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.
Автор: Weinberg Название: The Quantum Theory of Fields, v.2 ISBN: 0521670543 ISBN-13(EAN): 9780521670548 Издательство: Cambridge Academ Рейтинг: Цена: 7920.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Bengtsson Ingemar Название: Geometry of Quantum States ISBN: 1107026253 ISBN-13(EAN): 9781107026254 Издательство: Cambridge Academ Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Atkins Peter W Название: Molecular Quantum Mechanics ISBN: 0199541426 ISBN-13(EAN): 9780199541423 Издательство: Oxford Academ Рейтинг: Цена: 12987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Dirac, P.a.m. Название: Principles of quantum mechanics ISBN: 0198520115 ISBN-13(EAN): 9780198520115 Издательство: Oxford Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 10613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Miroslav Kubat Название: An Introduction to Machine Learning ISBN: 3319348868 ISBN-13(EAN): 9783319348865 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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