5 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space
Samuele Giuli, Hasanat Hasan, Benedikt Kloss +5
Simulations of quantum matter rely mainly on Kohn-Sham density functional theory (DFT), which often fails for strongly correlated systems. Quantum embedding (QE) theories address t…
Charge self-consistent density functional theory plus ghost rotationally-invariant slave-boson theory for correlated materials
Tsung-Han Lee, Corey Melnick, Ran Adler +4
We present a charge self-consistent density functional theory combined with the ghost-rotationally-invariant slave-boson (DFT+gRISB) formalism for studying correlated materials. Th…
Active Learning approach to simulations of Strongly Correlated Matter with the Ghost Gutzwiller Approximation
Marius S. Frank, Denis G. Artiukhin, Tsung-Han Lee +4
Quantum embedding (QE) methods such as the Ghost Gutzwiller Approximation (gGA) offer a powerful approach to simulating strongly-correlated systems, but come with the computational…