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Condensed Matter > Strongly Correlated Electrons

arXiv:2206.04181 (cond-mat)
[Submitted on 8 Jun 2022 (v1), last revised 3 Oct 2022 (this version, v3)]

Title:Excitations and spectra from equilibrium real-time Green's functions

Authors:Xinyang Dong, Emanuel Gull, Hugo U.R. Strand
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Abstract:The real-time contour formalism for Green's functions provides time-dependent information of quantum many-body systems. In practice, the long-time simulation of systems with a wide range of energy scales is challenging due to both the storage requirements of the discretized Green's function and the computational cost of solving the Dyson equation. In this manuscript, we apply a real-time discretization based on a piece-wise high-order orthogonal-polynomial expansion to address these issues. We present a superconvergent algorithm for solving the real-time equilibrium Dyson equation using the Legendre spectral method and the recursive algorithm for Legendre convolution. We show that the compact high order discretization in combination with our Dyson solver enables long-time simulations using far fewer discretization points than needed in conventional multistep methods. As a proof of concept, we compute the molecular spectral functions of H$_2$, LiH, He$_2$ and C$_6$H$_4$O$_2$ using self-consistent second-order perturbation theory and compare the results with standard quantum chemistry methods as well as the auxiliary second-order Green's function perturbation theory method.
Subjects: Strongly Correlated Electrons (cond-mat.str-el); Computational Physics (physics.comp-ph)
Cite as: arXiv:2206.04181 [cond-mat.str-el]
  (or arXiv:2206.04181v3 [cond-mat.str-el] for this version)
  https://doi.org/10.48550/arXiv.2206.04181
arXiv-issued DOI via DataCite
Journal reference: Phys. Rev. B 106, 125153 (2022)
Related DOI: https://doi.org/10.1103/PhysRevB.106.125153
DOI(s) linking to related resources

Submission history

From: Xinyang Dong [view email]
[v1] Wed, 8 Jun 2022 22:10:49 UTC (4,736 KB)
[v2] Thu, 1 Sep 2022 11:35:51 UTC (561 KB)
[v3] Mon, 3 Oct 2022 08:40:41 UTC (508 KB)
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