Stochastic resolution of identity second-order Matsubara Green's function theory

Tyler Y. Takeshita, Wenjie Dou, Daniel G.A. Smith, Wibe A. De Jong, Roi Baer, Daniel Neuhauser, Eran Rabani

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We develop a stochastic resolution of identity representation to the second-order Matsubara Green's function (sRI-GF2) theory. Using a stochastic resolution of the Coulomb integrals, the second order Born self-energy in GF2 is decoupled and reduced to matrix products/contractions, which reduces the computational cost from O(N5) to O(N3) (with N being the number of atomic orbitals). The current approach can be viewed as an extension to our previous work on stochastic resolution of identity second order Møller-Plesset perturbation theory [T. Y. Takeshita et al., J. Chem. Theory Comput. 13, 4605 (2017)] and offers an alternative to previous stochastic GF2 formulations [D. Neuhauser et al., J. Chem. Theory Comput. 13, 5396 (2017)]. We show that sRI-GF2 recovers the deterministic GF2 results for small systems, is computationally faster than deterministic GF2 for N > 80, and is a practical approach to describe weak correlations in systems with 103 electrons and more.

Original languageAmerican English
Article number044114
JournalJournal of Chemical Physics
Issue number4
StatePublished - 28 Jul 2019

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