Transfer matrices and matrix product operators play a ubiquitous role in the field of many-body physics. This review gives an idiosyncratic overview of applications, exact results, and computational aspects of diagonalizing transfer matrices and matrix product operators. The results in this paper are a mixture of classic results, presented from the point of view of tensor networks, and new results. Topics discussed are exact solutions of transfer matrices in equilibrium and nonequilibrium statistical physics, tensor network states, matrix product operator algebras, and numerical matrix product state methods for finding extremal eigenvectors of matrix product operators
The curse of dimensionality associated with the Hilbert space of spin systems provides a significant...
In this paper we give an introduction to the numerical density matrix renormalization group (DMRG) a...
A recent paper by Pollicott in 2010 presented an efficient algorithm for computing the Lyapunov expo...
Transfer matrices and matrix product operators play a ubiquitous role in the field of many-body phys...
We use the formalism of tensor network states to investigate the relation between static correlation...
Current descriptions of the ab initio density matrix renormalization group (DMRG) algorithm use two ...
The algebraic Bethe ansatz is a prosperous and well-established method for solving one-dimensional q...
Over the last decade tensor network states (TNS) have emerged as a powerful tool for the study of qu...
By taking inspiration from the backflow transformation for correlated systems, we introduce a novel ...
We show how to construct relevant families of matrix product operators (MPOs) in one and higher dime...
We discuss how to analytically obtain an essentially infinite matrix product state (MPS) representat...
We discuss how to analytically obtain an essentially infinite matrix product state (MPS) representat...
In these lecture notes we give a technical overview of tangent-space methods for matrix product stat...
The theory of entanglement provides a fundamentally new language for describing interactions and cor...
In this paper, motivated by the usefulness of tensor networks to quantum information theory for the ...
The curse of dimensionality associated with the Hilbert space of spin systems provides a significant...
In this paper we give an introduction to the numerical density matrix renormalization group (DMRG) a...
A recent paper by Pollicott in 2010 presented an efficient algorithm for computing the Lyapunov expo...
Transfer matrices and matrix product operators play a ubiquitous role in the field of many-body phys...
We use the formalism of tensor network states to investigate the relation between static correlation...
Current descriptions of the ab initio density matrix renormalization group (DMRG) algorithm use two ...
The algebraic Bethe ansatz is a prosperous and well-established method for solving one-dimensional q...
Over the last decade tensor network states (TNS) have emerged as a powerful tool for the study of qu...
By taking inspiration from the backflow transformation for correlated systems, we introduce a novel ...
We show how to construct relevant families of matrix product operators (MPOs) in one and higher dime...
We discuss how to analytically obtain an essentially infinite matrix product state (MPS) representat...
We discuss how to analytically obtain an essentially infinite matrix product state (MPS) representat...
In these lecture notes we give a technical overview of tangent-space methods for matrix product stat...
The theory of entanglement provides a fundamentally new language for describing interactions and cor...
In this paper, motivated by the usefulness of tensor networks to quantum information theory for the ...
The curse of dimensionality associated with the Hilbert space of spin systems provides a significant...
In this paper we give an introduction to the numerical density matrix renormalization group (DMRG) a...
A recent paper by Pollicott in 2010 presented an efficient algorithm for computing the Lyapunov expo...