English

Efficient Quasiparticle Determination beyond the Diagonal Approximation via Random Compression

Computational Physics 2023-09-28 v1 Materials Science

Abstract

Calculations of excited states in Green's function formalism often invoke the diagonal approximation, in which the quasiparticle states are taken from a mean-field calculation. Here, we extend the stochastic approaches applied in the many-body perturbation theory and overcome this limitation for large systems in which we are interested in a small subset of states. We separate the problem into a core subspace, whose coupling to the remainder of the system environment is stochastically sampled. This method is exemplified on computing hole injection energies into CO2_2 on an extended gold surface with nearly 3000 electrons. We find that in the extended system, the size of the problem can be compressed up to 95%95\% using stochastic sampling. This result provides a way forward for self-consistent stochastic methods and determining Dyson orbitals in large systems.

Keywords

Cite

@article{arxiv.2309.15258,
  title  = {Efficient Quasiparticle Determination beyond the Diagonal Approximation via Random Compression},
  author = {Annabelle Canestraight and Xiaohe Lei and Khaled Ibrahim and Vojtech Vlcek},
  journal= {arXiv preprint arXiv:2309.15258},
  year   = {2023}
}
R2 v1 2026-06-28T12:33:11.803Z