Accelerating Nonequilibrium Green functions simulations: the G1-G2 scheme and beyond
Michael Bonitz, Jan-Philip Joost, Christopher Makait, Erik Schroedter, Tim Karsberger, and Karsten Balzer

TL;DR
This paper reviews recent advancements in the G1-G2 scheme for Nonequilibrium Green functions simulations, highlighting its ability to significantly reduce computational costs and enable complex many-body system studies.
Contribution
It introduces the G1-G2 scheme that reformulates NEGF calculations into time-local equations, drastically improving computational efficiency for high-level selfenergy approximations.
Findings
G1-G2 scheme reduces NEGF simulation scaling from cubic to linear.
Application to Hubbard clusters, graphene, and ion stopping demonstrates scheme's versatility.
Enables feasible simulations with advanced selfenergy approximations like GW and T-matrix.
Abstract
The theory of Nonequilibrium Green functions (NEGF) has seen a rapid development over the recent three decades. Applications include diverse correlated many-body systems in and out of equilibrium. Very good agreement with experiments and available exact theoretical results could be demonstrated if the proper selfenergy approximations were used. However, full two-time NEGF simulations are computationally costly, as they suffer from a cubic scaling of the computation time with the simulation duration. Recently we have introduced the G1-G2 scheme that exactly reformulates the Kadanoff-Baym ansatz with Hartree-Fock propagators (HF-GKBA) into time-local equations, allowing for a dramatic reduction of the scaling to time-linear scaling [Schluenzen et al., Phys. Rev. Lett. \textbf{124}, 076601 (2020)]. Remarkably, this scaling is achieved quickly, and also for high-level selfenergies,…
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