Density Matrix and Tensor Network Renormalization

Author:   Tao Xiang (Chinese Academy of Sciences, Beijing)
Publisher:   Cambridge University Press
ISBN:  

9781009398701


Pages:   470
Publication Date:   31 August 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Density Matrix and Tensor Network Renormalization


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Overview

Renormalization group theory of tensor network states provides a powerful tool for studying quantum many-body problems and a new paradigm for understanding entangled structures of complex systems. In recent decades the theory has rapidly evolved into a universal framework and language employed by researchers in fields ranging from condensed matter theory to machine learning. This book presents a pedagogical and comprehensive introduction to this field for the first time. After an introductory survey on the major advances in tensor network algorithms and their applications, it introduces step-by-step the tensor network representations of quantum states and the tensor-network renormalization group methods developed over the past three decades. Basic statistical and condensed matter physics models are used to demonstrate how the tensor network renormalization works. An accessible primer for scientists and engineers, this book would also be ideal as a reference text for a graduate course in this area.

Full Product Details

Author:   Tao Xiang (Chinese Academy of Sciences, Beijing)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.60cm , Height: 3.00cm , Length: 25.00cm
Weight:   0.940kg
ISBN:  

9781009398701


ISBN 10:   1009398709
Pages:   470
Publication Date:   31 August 2023
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

'This is the comprehensive textbook the research community on tensor network has been anticipating. Student readers can quickly get used to standard formulations and pictorial diagrams without much effort. Even an expert in this field can capture the current frontiers and can refresh the fundamental concepts. I learned something new every time I read a paragraph.' Tomotoshi Nishino, Kobe University 'The author steers the reader expertly through sometimes complex methods, explaining why each is introduced, rather than simply presenting recipes, and choosing physical examples to provide guidance through the technical material.' Bruce Normand, Paul Scherrer Institute 'This authoritative introduction will become an invaluable resource for newcomers and experts alike. A very welcome feature is the use of a unified set of notational and diagrammatic conventions, employed consistently throughout the text. This greatly aids the reader in recognizing recurring strategies and ideas.' Jan von Delft, Ludwig-Maximilians-University Munich


Author Information

Tao Xiang is Professor at the Institute of Physics, Chinese Academy of Sciences (CAS), and specializes in condensed matter theory. He is a CAS academician and a fellow of the World Academy of Sciences, and has received the He-Leung-He-Lee Prize for Scientific and Technological Progress, among other awards.

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