Quintic-scaling rank-reduced coupled cluster theory with single and double excitations
Micha{\l} Lesiuk

TL;DR
This paper introduces a rank-reduced CCSD method that significantly lowers computational scaling from N^6 to N^5 while maintaining high accuracy, enabling efficient calculations for larger molecular systems.
Contribution
The authors develop a novel approach to reduce the scaling of RR-CCSD to N^5 by exploiting the linear growth of effective rank and introduce a non-iterative rank-reduced CCSD(T) with N^6 cost.
Findings
Achieves accuracy better than 99.9% for total and relative energies.
Reduces computational cost significantly for systems with 30-40 active electrons.
Demonstrates practical efficiency with a clear break-even point for larger systems.
Abstract
We consider the rank-reduced coupled-cluster theory with single and double excitations (RR-CCSD) introduced recently [Parrish \emph{et al.}, J. Chem. Phys. {\bf 150}, 164118 (2019)]. The main feature of this method is the decomposed form of the doubly-excited amplitudes which are expanded in the basis of largest magnitude eigenvectors of the MP2 or MP3 amplitudes. This approach enables a substantial compression of the amplitudes with only minor loss of accuracy. However, the formal scaling of the computational costs with the system size () is unaffected in comparison with the conventional CCSD theory () due to presence of some terms quadratic in the amplitudes. We show how to solve this problem, exploiting the fact that their effective rank increases only linearly with the system size and reduce the scaling of the RR-CCSD iterations down to the level of . This is…
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