Abstract
In this chapter, we introduce the core concepts of tensor network methods: we first define the tensors themselves and the most common operations for their manipulations. Then, we present some of the most successful algorithms developed exploiting tensor networks to study the many-body problem. We first reformulate the mean-field approach using the tensor notation. Then, we introduce the Matrix Product State (MPS) and the reformulation of the DMRG we presented in the previous chapter in this new formalism.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Montangero, S. (2018). Tensor Network Methods. In: Introduction to Tensor Network Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-01409-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-01409-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01408-7
Online ISBN: 978-3-030-01409-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)