10 papers
Fast Tensor Network Imaginary Time Evolution by Implicit Stepping on Logarithmic Grids
John P. Zima, E. Miles Stoudenmire, Steven R. White +2
We present a new method for the efficient imaginary time evolution of quantum many-body wavefunctions represented by matrix product states (MPS). We first show that logarithmic tim…
Neural-Network Quantum Embedding Solvers for Correlated Materials
Agnes Valenti, Ina Park, Antoine Georges +2
Quantum impurity solvers are the computational bottleneck of quantum embedding approaches to correlated materials, such as dynamical mean-field theory (DMFT). We show that neural n…
Electronic correlations and dynamical screening with ab initio quantum embedding
Chia-Nan Yeh, Francesco Petocchi, Alexander Hampel +4
First-principles descriptions of correlated quantum materials require a simultaneous treatment of strong local many-body effects and nonlocal dynamical screening. We present an eff…
Inchworm tensor train hybridization expansion quantum impurity solver
Yang Yu, André Erpenbeck, Dominika Zgid +3
The investigation of quantum impurity models plays a crucial role in condensed matter physics because of their wide-ranging applications, such as embedding theories and transport p…
LiV2O4: Hund-Assisted Orbital-Selective Mottness
Martin Grundner, Fabian B. Kugler, Olivier Parcollet +3
We show that the remarkably small Fermi-liquid coherence scale and large effective mass observed in LiVO are due to the proximity of a Hund-assisted orbital-selective Mott…
Algorithm for computing perturbation series of dynamical mean field theory
Corentin Bertrand, Michel Ferrero, Olivier Parcollet
We show how to use diagrammatic techniques to compute the weak-coupling perturbation series of the self-consistent solution to a Dynamical Mean Field Theory (DMFT) problem. This ap…