2011
DOI: 10.1098/rsta.2010.0382
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The density-matrix renormalization group: a short introduction

Abstract: The density-matrix renormalization group (DMRG) method has established itself over the last decade as the leading method for the simulation of the statics and dynamics of one-dimensional strongly correlated quantum lattice systems. The DMRG is a method that shares features of a renormalization group procedure (which here generates a flow in the space of reduced density operators) and of a variational method that operates on a highly interesting class of quantum states, so-called matrix product states (MPSs). T… Show more

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Cited by 53 publications
(50 citation statements)
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“…Our numerical calculations in this section are based on the density-matrix renormalization group (DMRG) algorithm [41][42][43][44][45][46]. We use finite-system DMRG [47,48] The values of z obtained in this fashion can be independently corroborated in order to check for any dependence (or lack thereof) on the particular system sizes over which FSS is applied. While our former approach relied on considering ∆ as a function of f , one can alternatively study the scaling of ∆ as a function of L instead, at f = f c .…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Our numerical calculations in this section are based on the density-matrix renormalization group (DMRG) algorithm [41][42][43][44][45][46]. We use finite-system DMRG [47,48] The values of z obtained in this fashion can be independently corroborated in order to check for any dependence (or lack thereof) on the particular system sizes over which FSS is applied. While our former approach relied on considering ∆ as a function of f , one can alternatively study the scaling of ∆ as a function of L instead, at f = f c .…”
Section: Numerical Resultsmentioning
confidence: 99%
“…These phase boundaries are also reproduced using finite-system DMRG [44,45] with a bond dimension up to D = 60 for a chain of L = 51 atoms and open boundary conditions. The first three energy levels are individually targeted, which, in turn, gives us access to the energy gap.…”
Section: Numerical Computation Of the Phase Diagrammentioning
confidence: 99%
“…We employed the matrix product states (MPS) time evolution method with matrix product operator (MPO) form of time-evolution operator e −itH [61] not only to simulate the real dynamics of the spin chain but also to obtain the cumulant generating function. For general information about MPS and MPO in DMRG, see for instance the reviews [62,63]. The large deviation function Ψ(a) can be calculated from the cumulant generating function of the integrated spin current [64].…”
Section: Numerical Analysismentioning
confidence: 99%