Dual-cone variational calculation of the two-electron reduced density matrix

被引:9
|
作者
Mazziotti, David A. [1 ,2 ]
机构
[1] Univ Chicago, Dept Chem, Chicago, IL 60637 USA
[2] Univ Chicago, James Franck Inst, Chicago, IL 60637 USA
基金
美国国家科学基金会;
关键词
Variational techniques - Wave functions - Computation theory - Ground state - Matrix algebra - Nitrogen fixation - Electrons - Quantum optics - Atoms;
D O I
10.1103/PhysRevA.102.052819
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The computation of strongly correlated quantum systems is challenging because of its potentially exponential scaling in the number of electron configurations. Variational calculation of the two-electron reduced density matrix (2-RDM) without the many-electron wave function exploits the pairwise nature of the electronic Coulomb interaction to compute a lower bound on the ground-state energy with polynomial computational scaling. Recently, a dual-cone formulation of the variational 2-RDM calculation was shown to generate the ground-state energy, albeit not the 2-RDM, at a substantially reduced computational cost, especially for higher N-representability conditions such as the T2 constraint. Here we generalize the dual-cone variational 2-RDM method to compute not only the ground-state energy but also the 2-RDM. The central result is that we can compute the 2-RDM from a generalization of the Hellmann-Feynman theorem. Specifically, we prove that in the Lagrangian formulation of the dual-cone optimization the 2-RDM is the Lagrange multiplier. We apply the method to computing the energies and properties of strongly correlated electrons-including atomic charges, electron densities, dipole moments, and orbital occupations-in an illustrative hydrogen chain and the nitrogen-fixation catalyst FeMoco. The dual variational computation of the 2-RDM with T2 or higher N-representability conditions provides a polynomially scaling approach to strongly correlated molecules and materials with significant applications in atomic and molecular and condensed-matter chemistry and physics.
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页数:8
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