Generalized many-body perturbation theory for the electron correlation energy: multi-reference random phase approximation via diagrammatic resummation
Yuqi Wang, Wei-Hai Fang, Zhendong Li

TL;DR
This paper develops a multi-reference extension of many-body perturbation theory using diagrammatic resummation, enabling accurate correlation energy calculations in strongly correlated systems, bridging condensed matter and quantum chemistry approaches.
Contribution
It introduces a diagrammatic multi-reference MBPT framework using cumulant Green's functions, unifying MBPT and MRPT for strongly correlated systems.
Findings
MR-RPA resolves failures of SR-RPA in strongly correlated molecules
The framework bridges condensed matter and quantum chemistry methods
Benchmark results show improved accuracy in challenging systems
Abstract
Many-body perturbation theory (MBPT) based on Green's functions and Feynman diagrams provides a fundamental theoretical framework for various \emph{ab initio} computational approaches in molecular and materials science, including the random phase approximation (RPA) and approximation. Unfortunately, this perturbation expansion often fails in systems with strong multi-reference characters. Extending diagrammatic MBPT to the multi-reference case is highly nontrivial and remains largely unexplored, primarily due to the breakdown of Wick's theorem. In this work, we develop a diagrammatic multi-reference generalization of MBPT for computing correlation energies of strongly correlated systems, by using the cumulant expansion of many-body Green's function in place of Wick's theorem. This theoretical framework bridges the gap between MBPT in condensed matter physics and multi-reference…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Quantum, superfluid, helium dynamics · Cold Atom Physics and Bose-Einstein Condensates
