Memory-Efficient Nonequilibrium Green's Function Framework Built On Quantics Tensor Trains
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908606087036928 |
|---|---|
| author | Środa, Maksymilian Inayoshi, Ken Shinaoka, Hiroshi Werner, Philipp |
| author_facet | Środa, Maksymilian Inayoshi, Ken Shinaoka, Hiroshi Werner, Philipp |
| contents | One of the challenges in diagrammatic simulations of nonequilibrium phenomena in lattice models is the large memory demand for storing momentum-dependent two-time correlation functions. This problem can be overcome with the recently introduced quantics tensor train (QTT) representation of multivariable functions. Here, we demonstrate nonequilibrium Green's function simulations within the $GW$ and Migdal approximations with high momentum resolution, up to times which exceed the capabilities of standard implementations and are long enough to study, e.g., transient Floquet physics during multi-cycle electric field pulses and thermalization dynamics. The self-consistent calculation on the three-leg Kadanoff-Baym contour is fully self-contained, employing only QTT-compressed functions and input functions which are either generated directly in QTT form or obtained via quantics tensor cross interpolation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_14032 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Memory-Efficient Nonequilibrium Green's Function Framework Built On Quantics Tensor Trains Środa, Maksymilian Inayoshi, Ken Shinaoka, Hiroshi Werner, Philipp Strongly Correlated Electrons One of the challenges in diagrammatic simulations of nonequilibrium phenomena in lattice models is the large memory demand for storing momentum-dependent two-time correlation functions. This problem can be overcome with the recently introduced quantics tensor train (QTT) representation of multivariable functions. Here, we demonstrate nonequilibrium Green's function simulations within the $GW$ and Migdal approximations with high momentum resolution, up to times which exceed the capabilities of standard implementations and are long enough to study, e.g., transient Floquet physics during multi-cycle electric field pulses and thermalization dynamics. The self-consistent calculation on the three-leg Kadanoff-Baym contour is fully self-contained, employing only QTT-compressed functions and input functions which are either generated directly in QTT form or obtained via quantics tensor cross interpolation. |
| title | Memory-Efficient Nonequilibrium Green's Function Framework Built On Quantics Tensor Trains |
| topic | Strongly Correlated Electrons |
| url | https://arxiv.org/abs/2412.14032 |