English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Frequency-dependent correlations, such as the spectral function and thedynamical structure factor, help understand condensed matter experiments.Within the density matrix renormalization group (DMRG) framework, an accuratemethod for calculating spectral functions directly in frequency is thecorrection-vector method. The correction-vector can be computed by solving alinear equation or by minimizing a functional. This paper proposes analternative to calculate the correction vector: to use the Krylov-spaceapproach. This paper then studies the accuracy and performance of theKrylov-space approach, when applied to the Heisenberg, the t-J, and the Hubbardmodels. The cases studied indicate that Krylov-space approach can be moreaccurate and efficient than conjugate gradient, and that the error of theformer integrates best when a Krylov-space decomposition is also used forground state DMRG.

Spectral Functions with the Density Matrix Renormalization Group: Krylov-space Approach for Correction Vectors