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Tensornetzwerke

PH7015Study Phase6 ECTSEnglishsummer semesterStudiengangsbündel Gemeinsame Studiengänge TUM/LMU M.Sc. QST/TMP (aus dem Lehrangebot der LMU)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you will learn methods of tensor network theory and how to apply them. You will gain insight into both introductory and advanced topics, with modern review articles and original literature forming the basis of the content. By the end you will be able to understand fundamental tensor network algorithms and work independently on current research topics.

What you will be able to do

  • Understand the basic principles of tensor networks
  • Apply Matrix Product States and related methods
  • Assess numerical algorithms for tensor networks
  • Read and discuss literature on advanced tensor network techniques

What the module consists of

  • LectureConveying the theoretical foundations and algorithms
  • Seminar/DiscussionDiscussion of review and original literature

Teaching method

  • Lecture/BlackboardIntroduction to concepts and algorithms
  • Literature-based discussionDeeper treatment of advanced topics
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Official page in TUMonline · Details are not binding.