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Titlebook: Quantum Information Meets Quantum Matter; From Quantum Entangl Bei Zeng,Xie Chen,Xiao-Gang Wen Book 2019 Springer Science+Business Media, L

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书目名称Quantum Information Meets Quantum Matter
副标题From Quantum Entangl
编辑Bei Zeng,Xie Chen,Xiao-Gang Wen
视频video
概述Systematically introduces techniques from quantum information science to the study of condensed matter physics.Provides a coherent link between the language of quantum information science and modern c
丛书名称Quantum Science and Technology
图书封面Titlebook: Quantum Information Meets Quantum Matter; From Quantum Entangl Bei Zeng,Xie Chen,Xiao-Gang Wen Book 2019 Springer Science+Business Media, L
描述.This book approaches condensed matter physics from the perspective of quantum information science, focusing on systems with strong interaction and unconventional order for which the usual condensed matter methods like the Landau paradigm or the free fermion framework break down. Concepts and tools in quantum information science such as entanglement, quantum circuits, and the tensor network representation prove to be highly useful in studying such systems. The goal of this book is to introduce these techniques and show how they lead to a new systematic way of characterizing and classifying quantum phases in condensed matter systems... ..The first part of the book introduces some basic concepts in quantum information theory which are then used to study the central topic explained in Part II: local Hamiltonians and their ground states. Part III focuses on one of the major new phenomena in strongly interacting systems, the topological order, and shows how it can essentially be defined and characterized in terms of entanglement.  Part IV shows that the key entanglement structure of topological states can be captured using the tensor network representation, which provides a powerful too
出版日期Book 2019
关键词boson/spin liquids; entanglement in many-body systems; gapped quantum phases; quantum entanglement; quan
版次1
doihttps://doi.org/10.1007/978-1-4939-9084-9
isbn_ebook978-1-4939-9084-9Series ISSN 2364-9054 Series E-ISSN 2364-9062
issn_series 2364-9054
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2019
The information of publication is updating

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Book 2019strongly interacting systems, the topological order, and shows how it can essentially be defined and characterized in terms of entanglement.  Part IV shows that the key entanglement structure of topological states can be captured using the tensor network representation, which provides a powerful too
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