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

Dynamical mean field theory and its cluster extensions provide a very usefulapproach for examining phase transitions in model Hamiltonians, and, incombination with electronic structure theory, constitute powerful methods totreat strongly correlated materials. The key advantage to the technique isthat, unlike competing real space methods, the sign problem is well controlledin the Hirsch-Fye (HF) quantum Monte Carlo used as an exact cluster solver.However, an important computational bottleneck remains; the HF method scales asthe cube of the inverse temperature, $\beta$. This often makes simulations atlow temperatures extremely challenging. We present here a new method based ondeterminant quantum Monte Carlo which scales linearly in $\beta$, anddemonstrate that the sign problem is identical to HF.

Cluster solver for dynamical mean-field theory with linear scaling in inverse temperature