Dual-cone variational calculation of the two-electron reduced density matrix
Dual-cone variational calculation of the two-electron reduced density matrix
复制标题
双电子约简密度矩阵的双锥变分计算
DOI:
10.1103/physreva.102.052819
复制
发表时间:
2020
影响因子:
2.9
通讯作者:
Mazziotti, David A.
中科院分区:
文献类型:
--
作者:
Mazziotti, David A.
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-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-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.
登录
查看更多内容
影响因子:
4.4
作者:
Booth, George H.;Thom, Alex J. W.;Alavi, Ali
通讯作者:
Alavi, Ali
DOI:
--
发表时间:
2006
期刊:
影响因子:
--
作者:
D. Mazziotti
通讯作者:
D. Mazziotti
影响因子:
4.4
作者:
A. W. Schlimgen;D. Mazziotti
通讯作者:
D. Mazziotti
影响因子:
8.6
作者:
D. Mazziotti
通讯作者:
D. Mazziotti
DOI:
--
发表时间:
2001
期刊:
影响因子:
--
作者:
Maho Nakata;H. Nakatsuji;M. Ehara;M. Fukuda;K. Nakata;K. Fujisawa
通讯作者:
K. Fujisawa