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Tensor Networks - The iTEBD Algorithm (lecture 2)

<!--HTML-->In recent years, tensor networks have become a viable alternative to Monte Carlo calculations and exact diagonalization for the simulation of many-body systems. As they represent a formulation of quantum mechanical wavefunctions with polynomially many parameters, they make calculati...

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Autor principal: Emonts, Patrick
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2665669
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author Emonts, Patrick
author_facet Emonts, Patrick
author_sort Emonts, Patrick
collection CERN
description <!--HTML-->In recent years, tensor networks have become a viable alternative to Monte Carlo calculations and exact diagonalization for the simulation of many-body systems. As they represent a formulation of quantum mechanical wavefunctions with polynomially many parameters, they make calculations of large systems feasible. They have already found wide application in condensed matter physics and start to be an interesting tool for high energy physics as well. In this lecture series, I will introduce the basic concepts of tensor networks. We will start with an introduction of the necessary basics of quantum mechanics and linear algebra and focus on the algorithmic side of tensor networks in the second lecture.
id cern-2665669
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-26656692022-11-02T22:32:38Zhttp://cds.cern.ch/record/2665669engEmonts, PatrickTensor Networks - The iTEBD Algorithm (lecture 2)Inverted CERN School of Computing 2019Inverted CSC<!--HTML-->In recent years, tensor networks have become a viable alternative to Monte Carlo calculations and exact diagonalization for the simulation of many-body systems. As they represent a formulation of quantum mechanical wavefunctions with polynomially many parameters, they make calculations of large systems feasible. They have already found wide application in condensed matter physics and start to be an interesting tool for high energy physics as well. In this lecture series, I will introduce the basic concepts of tensor networks. We will start with an introduction of the necessary basics of quantum mechanics and linear algebra and focus on the algorithmic side of tensor networks in the second lecture.oai:cds.cern.ch:26656692019
spellingShingle Inverted CSC
Emonts, Patrick
Tensor Networks - The iTEBD Algorithm (lecture 2)
title Tensor Networks - The iTEBD Algorithm (lecture 2)
title_full Tensor Networks - The iTEBD Algorithm (lecture 2)
title_fullStr Tensor Networks - The iTEBD Algorithm (lecture 2)
title_full_unstemmed Tensor Networks - The iTEBD Algorithm (lecture 2)
title_short Tensor Networks - The iTEBD Algorithm (lecture 2)
title_sort tensor networks - the itebd algorithm (lecture 2)
topic Inverted CSC
url http://cds.cern.ch/record/2665669
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