Variational optimization algorithms for uniform matrix product states
Abstract
We combine the Density Matrix Renormalization Group (DMRG) with Matrix Product State tangent space concepts to construct a variational algorithm for finding ground states of one dimensional quantum lattices in the thermodynamic limit. A careful comparison of this variational uniform Matrix Product State algorithm (VUMPS) with infinite Density Matrix Renormalization Group (IDMRG) and with infinite Time Evolving Block Decimation (ITEBD) reveals substantial gains in convergence speed and precision. We also demonstrate that VUMPS works very efficiently for Hamiltonians with long range interactions and also for the simulation of two dimensional models on infinite cylinders. The new algorithm can be conveniently implemented as an extension of an already existing DMRG implementation.
Keywords
Cite
@article{arxiv.1701.07035,
title = {Variational optimization algorithms for uniform matrix product states},
author = {V. Zauner-Stauber and L. Vanderstraeten and M. T. Fishman and F. Verstraete and J. Haegeman},
journal= {arXiv preprint arXiv:1701.07035},
year = {2019}
}
Comments
20 pages + 12 pages appendix, V. Zauner-Stauber previously also published under the name V. Zauner