2016
DOI: 10.1103/physrevb.93.245129
|View full text |Cite
|
Sign up to set email alerts
|

Entanglement scaling of excited states in large one-dimensional many-body localized systems

Abstract: We study the properties of excited states in one-dimensional many-body localized (MBL) systems using a matrix product state algorithm. First, the method is tested for a large disordered noninteracting system, where for comparison we compute a quasi-exact reference solution via a Monte Carlo sampling of the single-particle levels. Thereafter, we present extensive data obtained for large interacting systems of L ∼ 100 sites and large bond dimensions χ ∼ 1700, which allows us to quantitatively analyze the scaling… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

4
29
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 33 publications
(33 citation statements)
references
References 55 publications
(77 reference statements)
4
29
0
Order By: Relevance
“…The relatively small values of e 3 , even for the finite system sizes numerically available, make it possible to consider the input state as a very good approximation of an actual eigenstate ofH 3 to extend our study. We further note that contrary to recently proposed DMRGlike methods for excited states [40,49,[53][54][55][56][57][58] where the energy variance increases with the system size L, our method yields a power-law decaying σ[H, |Ψ 0 ] with L.…”
Section: Covariance Matrix and Hamiltonian Reconstructionmentioning
confidence: 56%
“…The relatively small values of e 3 , even for the finite system sizes numerically available, make it possible to consider the input state as a very good approximation of an actual eigenstate ofH 3 to extend our study. We further note that contrary to recently proposed DMRGlike methods for excited states [40,49,[53][54][55][56][57][58] where the energy variance increases with the system size L, our method yields a power-law decaying σ[H, |Ψ 0 ] with L.…”
Section: Covariance Matrix and Hamiltonian Reconstructionmentioning
confidence: 56%
“…Furthermore, we mapped out the mobility edge in this model, demonstrating that the method has a good energy resolution. Our criterion requires a sample of adjacent eigenstates in an energy window, and hence it can be straightforwardly evaluated by "spectral transformation" methods applicable to much larger system sizes, either via iterative diagonalizations [24] or DMRG [48][49][50][51].…”
Section: Discussionmentioning
confidence: 99%
“…This is partially due to a lack of methods to address this question. Tensor network methods [20][21][22] have been extended to be able to address properties of highly excited states, [23][24][25] prominently the DMRG-X method, 26 generalizing the density matrix renormalization group (DMRG) method 27 to capture highly excited states that feature an entanglement area-law.…”
Section: Introductionmentioning
confidence: 99%