Time-Linear Quantum Transport Simulations with Correlated Nonequilibrium Green’s Functions
Abstract
We present a time-linear scaling method to simulate open and correlated quantum systems out of equilibrium. The method inherits from many-body perturbation theory the possibility to choose selectively the most relevant scattering processes in the dynamics, thereby paving the way to the real-time characterization of correlated ultrafast phenomena in quantum transport. The open system dynamics is described in terms of an “embedding correlator” from which the time-dependent current can be calculated using the Meir-Wingreen formula. We show how to efficiently implement our approach through a simple grafting into recently proposed time-linear Green’s function methods for closed systems. Electron-electron and electron-phonon interactions can be treated on equal footing while preserving all fundamental conservation laws.
Main Authors
Format
Articles
Research article
Published
2023
Series
Subjects
Publication in research information system
Publisher
American Physical Society (APS)
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202306264115Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
0031-9007
DOI
https://doi.org/10.1103/PhysRevLett.130.246301
Language
English
Published in
Physical Review Letters
Citation
- Tuovinen, R., Pavlyukh, Y., Perfetto, E., & Stefanucci, G. (2023). Time-Linear Quantum Transport Simulations with Correlated Nonequilibrium Green’s Functions. Physical Review Letters, 130(24), Article 246301. https://doi.org/10.1103/PhysRevLett.130.246301
Additional information about funding
R. T. wishes to thank the Academy of Finland for funding under Project No. 345007. Y. P. acknowledges funding from NCN Grant POLONEZ BIS 1, “Nonequilibrium electrons coupled with phonons and collective orders,” 2021/43/P/ST3/03293. G. S. and E. P. acknowledge funding from MIUR PRIN Grant No. 20173B72NB, from the INFN17-Nemesys project. G. S. and E. P. acknowledge Tor Vergata University for financial support through projects ULEXIEX and TESLA. We also acknowledge CSC—IT Center for Science, Finland, for computational resources.
Copyright© 2023 American Physical Society