Abstract

In these lecture notes we give a technical overview of tangent-space methods for matrix product states in the thermodynamic limit. We introduce the manifold of uniform matrix product states, show how to compute different types of observables, and discuss the concept of a tangent space. We explain how to variationally optimize ground-state approximations, implement real-time evolution and describe elementary excitations for a given model Hamiltonian. Also, we explain how matrix product states approximate fixed points of one-dimensional transfer matrices. We show how all these methods can be translated to the language of continuous matrix product states for one-dimensional field theories. We conclude with some extensions of the tangent-space formalism and with an outlook to new applications.

Highlights

  • We introduce the manifold of uniform matrix product states, show how to compute different types of observables, and discuss the concept of a tangent space

  • We show how all these methods can be translated to the language of continuous matrix product states for one-dimensional field theories

  • That we have introduced the manifold of matrix product states and the concept of the tangent space, we should explain how to find the point in the manifold that provides the best approximation for the ground state of a given hamiltonian H

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Summary

Introduction

The quantum many-body problem is of central importance in diverse fields of physics such as quantum chemistry, condensed-matter physics and quantum field theory. The natural way of describing those novel tensor network methods is through the low-dimensional manifold that those states span in the full Hilbert space This manifold picture provides a unifying framework by which both DMRG and time-dependent and spectral MPS methods can be understood. The main objective of these lecture notes is to highlight the novel aspects of quantum tensor networks that are made apparent by looking at them through the lens of this manifold picture and, by studying the tangent spaces of this manifold Those tangent spaces play a central role as they parameterize the directions in Hilbert space which are accessible from within the manifold.

Matrix product states in the thermodynamic limit
Truncating a uniform MPS
Algorithm for finding canonical forms
Computing expectation values
The static structure factor
The tangent space and tangent vectors
Tangent vectors in the uniform gauge
Tangent vectors in the mixed gauge
Variational optimization of the overlap
Finding ground states
The gradient
Optimizing the tensors
The energy variance
The vumps algorithm
The time-dependent variational principle
2: Find l and r matrices
Elementary excitations
Transfer matrices and fixed points
Continuous matrix product states
Outlook
Full Text
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