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…
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…
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…
Light-induced Asymmetric Pseudogap below T in cuprates
D. Armanno, O. Gingras, F. Goto +15
To this day, high-temperature cuprate superconductors remain an unparalleled platform for studying the competition and coexistence of emergent, static and dynamic, quantum phases o…