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cond-mat.str-el2026
Unifying Variational and Dynamical Quantum Embedding: From Ghost Gutzwiller Approximation to Dynamical Mean-Field Theory
Samuele Giuli, Tsung-Han Lee, Yong-Xin Yao +4
Dynamical and variational frameworks have long been viewed as distinct paradigms. In particular, in quantum embedding (QE) frameworks, dynamical mean-field theory (DMFT) captures n…
cond-mat.str-el2026
Accelerating dynamical mean-field theory convergence by preconditioning with computationally cheaper quantum embedding methods
E. M. Makaresz, O. Gingras, Tsung-Han Lee +3
Dynamical mean-field theory (DMFT) is a cornerstone technique for studying strongly correlated electronic systems. However, each DMFT step is computationally demanding, and many it…