Learning feynman diagrams with tensor trains
We use tensor network techniques to obtain high-order perturbative diagrammatic
expansions for the quantum many-body problem at very high precision. The approach is …
expansions for the quantum many-body problem at very high precision. The approach is …
HEOM‐QUICK2: A general‐purpose simulator for fermionic many‐body open quantum systems—An update
Many‐body open quantum systems (OQSs) have a profound impact on various
subdisciplines of physics, chemistry, and biology. Thus, the development of a computer …
subdisciplines of physics, chemistry, and biology. Thus, the development of a computer …
Real-time evolution of Anderson impurity models via tensor network influence functionals
In this work, we present and analyze two tensor network-based influence functional
approaches for simulating the real-time dynamics of quantum impurity models such as the …
approaches for simulating the real-time dynamics of quantum impurity models such as the …
Tensor train continuous time solver for quantum impurity models
The simulation of strongly correlated quantum impurity models is a significant challenge in
modern condensed matter physics that has multiple important applications. Thus far, the …
modern condensed matter physics that has multiple important applications. Thus far, the …
Steady-state properties of multi-orbital systems using quantum Monte Carlo
A precise dynamical characterization of quantum impurity models with multiple interacting
orbitals is challenging. In quantum Monte Carlo methods, this is embodied by sign problems …
orbitals is challenging. In quantum Monte Carlo methods, this is embodied by sign problems …
Sha** electronic flows with strongly correlated physics
Nonequilibrium quantum transport is of central importance in nanotechnology. Its description
requires the understanding of strong electronic correlations that couple atomic-scale …
requires the understanding of strong electronic correlations that couple atomic-scale …
Dynamical mean field theory of the bilayer Hubbard model with inchworm Monte Carlo
Dynamical mean field theory allows access to the physics of strongly correlated materials
with nontrivial orbital structure, but relies on the ability to solve auxiliary multiorbital impurity …
with nontrivial orbital structure, but relies on the ability to solve auxiliary multiorbital impurity …
Stark Many-Body Localization in Interacting Infinite Dimensional Systems
We study bulk particle transport in a Fermi-Hubbard model on an infinite-dimensional Bethe
lattice, driven by a constant electric field. Previous numerical studies showed that one …
lattice, driven by a constant electric field. Previous numerical studies showed that one …
Unveiling hidden scaling relations in dissipative relaxation dynamics of strongly correlated quantum impurity systems
Understanding the time evolution of strongly correlated open quantum systems (OQSs) in
response to perturbations (quenches) is of fundamental importance to the precise control of …
response to perturbations (quenches) is of fundamental importance to the precise control of …
Solving multiorbital dynamical mean-field theory using natural orbitals renormalization group
JM Wang, Y Chen, YH Tian, RQ He, ZY Lu - arxiv preprint arxiv …, 2022 - arxiv.org
The natural orbitals renormalization group (NORG) has previously been proposed as an
efficient numerical method for solving zero-temperature properties of multisite and …
efficient numerical method for solving zero-temperature properties of multisite and …