9783030344887 - tensor network contractions: methods and applications to quantum many-body systems: 964 di ran, shi-ju; tirrito, emanuele; peng, cheng; chen, xi; tagliacozzo, luca; su, gang; lewenstein, maciej (20 risultati)
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems
Ran, Shi-ju; Tirrito, Emanuele; Peng, Cheng; Chen, XI; Tagliacozzo, Luca
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems (Lecture Notes in Physics)
Ran, Shi-Ju; Tirrito, Emanuele; Peng, Cheng; Chen, Xi; Tagliacozzo, Luca; Su, Gang; Lewenstein, Maciej
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems
Ran, Shi-ju; Tirrito, Emanuele; Peng, Cheng; Chen, XI; Tagliacozzo, Luca
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems (Lecture Notes in Physics)
Ran, Shi-Ju; Tirrito, Emanuele; Peng, Cheng; Chen, Xi; Tagliacozzo, Luca; Su, Gang; Lewenstein, Maciej
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems
Ran, Shi-ju; Tirrito, Emanuele; Peng, Cheng; Chen, XI; Tagliacozzo, Luca
Lingua: Inglese
Editore: Springer, 2020
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Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems
Ran, Shi-ju; Tirrito, Emanuele; Peng, Cheng; Chen, XI; Tagliacozzo, Luca
Lingua: Inglese
Editore: Springer, 2020
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Tensor Network Contractions: Methods and Applications to Quantum Many-body Systems
Ran, Shi-ju/ Tirrito, Emanuele/ Peng, Cheng/ Chen, XI/ Tagliacozzo, Luca
Lingua: Inglese
Editore: Springer Verlag, 2020
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 166 pages. 9.25x6.10x0.80 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2020
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the t…ensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis.Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are notwell discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network.This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics.
Lingua: Inglese
Editore: Springer, 2020
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Tensor Network Contractions | Methods and Applications to Quantum Many-Body Systems | Shi-Ju Ran (u. a.) | Taschenbuch | xiv | Englisch | 2020 | Springer | EAN 9783030344887 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spring…er[dot]com | Anbieter: preigu.
Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems (Lecture Notes in Physics, 964)
Ran, Shi-Ju, Tirrito, Emanuele, Peng, Cheng, Chen, Xi, Tagli
Lingua: Inglese
Editore: Springer, 2020
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2020
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Jan 2020, 2020
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims…to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis.Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network.This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics. 164 pp. Englisch.
Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems: 964 (Lecture Notes in Physics)
Ran, Shi-Ju; Tirrito, Emanuele; Peng, Cheng; Chen, Xi; Tagliacozzo, Luca; Su, Gang; Lewenstein, Maciej
Lingua: Inglese
Editore: Springer, 2020
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Condizione: New. Print on Demand pp. 164.
Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems: 964 (Lecture Notes in Physics)
Ran, Shi-Ju; Tirrito, Emanuele; Peng, Cheng; Chen, Xi; Tagliacozzo, Luca; Su, Gang; Lewenstein, Maciej
Lingua: Inglese
Editore: Springer, 2020
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 164.
Tensor Network Contractions
Shi-Ju Ran|Emanuele Tirrito|Cheng Peng|Xi Chen|Luca Tagliacozzo|Gang Su|Maciej Lewenstein
Lingua: Inglese
Editore: Springer International Publishing, 2020
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a unique perspective from multi-linear algebra to understand tensor network algorithmsReaders will be able to use existing tensor network algorithms in their research and develop and design their own innovat…i.
Lingua: Inglese
Editore: Springer, Springer Jan 2020, 2020
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to e…xplain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis.Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are notwell discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network.This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.
