An efficient method for strongly correlated electrons in two-dimensions
Ion Mitxelena, Mario Piris

TL;DR
This paper introduces PNOF7, a reduced density matrix-based method that efficiently captures strong electron correlation effects in two-dimensional systems, outperforming traditional methods in accuracy and computational cost.
Contribution
The paper presents PNOF7, a novel RDM-based approach that accurately describes strong correlations in 2D systems with reduced computational complexity and no dependence on dimensionality.
Findings
PNOF7 accurately models strong correlation effects in 2D Hubbard and hydrogen lattices.
PNOF7 achieves results comparable to DMRG and quantum Monte Carlo methods.
The method maintains computational efficiency and convergence across various system sizes and fillings.
Abstract
This work deals with the problem of strongly correlated electrons in two-dimensions (2D). We give a reduced density matrix (RDM) based tool through which the ground-state energy is given as a functional of the natural orbitals and their occupation numbers. Specifically, the Piris Natural Orbital Functional 7 (PNOF7) is used for studying the 2D Hubbard model and hydrogen square lattices. The singlet ground-state is studied, as well as the doublet mixed quantum state obtained by extracting an electron from the system. Our method satisfies two-index necessary N-representability conditions of the two-particle RDM (2RDM) and guarantees the conservation of the total spin. We show the ability of PNOF7 to describe strong correlation effects in these 2D systems by comparing our results with exact diagonalization, density matrix renormalization group (DMRG), and auxiliary-field quantum Monte…
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