Entanglement and tensor network states
J. Eisert
TL;DR
This paper provides an overview of entanglement theory and tensor network states, focusing on their application to quantum many-body systems and condensed-matter physics.
Contribution
It introduces methods of entanglement analysis and tensor network representations relevant to quantum many-body systems and condensed-matter physics.
Findings
Tensor network states efficiently represent quantum states in condensed-matter systems.
Entanglement measures help classify quantum phases.
Tensor networks facilitate numerical simulations of complex quantum systems.
Abstract
These lecture notes provide a brief overview of methods of entanglement theory applied to the study of quantum many-body systems, as well as of tensor network states capturing quantum states naturally appearing in condensed-matter systems.
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Taxonomy
TopicsQuantum many-body systems · Quantum Computing Algorithms and Architecture · Black Holes and Theoretical Physics