English

NESSi 2.0: The Non-Equilibrium Systems Simulation package version 2.0

Strongly Correlated Electrons 2026-05-05 v1

Abstract

Nonequilibrium Green's functions provide a powerful framework for studying quantum many-body dynamics including the laser-induced dynamics in solids. The Non-Equilibrium Systems Simulation package (NESSi) offers an efficient platform for such simulations, ranging from perturbative approaches like nonequilibrium GWGW to nonequilibrium dynamical mean-field theory. However, simulations based on nonequilibrium Green's functions become computationally demanding when the dynamics span a large temporal range, such as from sub-femtosecond electron dynamics to the picosecond dynamics of collective modes. Due to the memory integral in the Kadanoff-Baym equations, which serve as equations of motion for nonequilibrium Green's functions, the computational cost scales as O(Nt3)\mathcal{O}(N_t^3) with the number of timesteps NtN_t, and the memory requirement scales as O(Nt2)\mathcal{O}(N_t^2). In this work, we extend NESSi by incorporating techniques that aim to overcome this bottleneck: (i) By truncating the memory integrals in the KBE to a maximum of NcN_c timesteps, the computational complexity is reduced to O(NtNc2)\mathcal{O}(N_tN_c^2), and the memory requirement to O(Nc2)\mathcal{O}(N_c^2). Provided that the results converge with respect to the cutoff NcN_c, memory truncation allows to extend the simulations to significantly longer times. (ii) We introduce functionalities to describe nonequilibrium steady states, i.e. time-translationally invariant nonequilibrium states. Such states are relevant for transport settings, and they provide an approximate description of slowly evolving (prethermal) nonequilibrium states.

Keywords

Cite

@article{arxiv.2605.02606,
  title  = {NESSi 2.0: The Non-Equilibrium Systems Simulation package version 2.0},
  author = {Fabian Künzel and Michael Schüler and Denis Golež and Yuta Murakami and Sujay Ray and Christopher Stahl and Jiajun Li and Hugo U. R. Strand and Philipp Werner and Martin Eckstein},
  journal= {arXiv preprint arXiv:2605.02606},
  year   = {2026}
}

Comments

45 pages, 11 figures

R2 v1 2026-07-01T12:48:33.584Z