Real-Time Dyson-Expansion Scheme: Efficient Inclusion of Dynamical Correlations in Nonequilibrium Spectral Properties
Time-resolved photoemission spectroscopy is the key technique to probe the real-time nonequilibrium dynamics of electronic states. Theoretical predictions of the time dependent spectral function for realistic systems is however, a challenge. Employing the Kadanoff-Baym equations to find this quantity results in a cubic scaling in the total number of time steps, quickly becoming prohibitive and often fail quantitatively and even qualitatively. In comparison, mean-field methods have more favorable numerical scaling both in the number of time steps and in the complexity associated with the cost of evolving for a single time step, however they miss key spectral properties such as emergent spectral features. Here we present a scheme that allows for the inclusion of dynamical correlations to the spectral function while maintaining the same scaling in the number of time steps as for mean-field approaches, while capturing the emergent physics. Further, the scheme can be efficiently implemented on top of equilibrium real-time many-body perturbation theory schemes and codes. We see excellent agreement with exact results for test systems. Furthermore, we exemplify the method on a periodic system and demonstrate clear evidence that our proposed scheme produces complex spectral features including excitonic band replicas, features that are not observed using static mean-field approaches.
Authors
- Vojtěch Vlček (ORCID: https://orcid.org/0000-0002-2836-7619)
- Cian C. Reeves (ORCID: https://orcid.org/0009-0006-4258-1845)
Institutions
- University of California, Santa Barbara (US)
- University of California System (US)
Publication Details
- Journal
- Physical Review Letters
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1103/physrevlett.133.226902
- Citations
- 10
- Primary Topic
- Quantum many-body systems
- Type
- article
- Field-Weighted Citation Impact
- 3.38
Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- Office of Science
- Advanced Scientific Computing Research