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A Generalized Variational Principle with Applications to Excited State Mean Field Theory
Author(s) -
Jacqueline A. R. Shea,
Elise Gwin,
Eric Neuscamman
Publication year - 2020
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/acs.jctc.9b01105
Subject(s) - hamiltonian (control theory) , coupled cluster , degeneracy (biology) , eigenvalues and eigenvectors , variational principle , wave function , excited state , quantum mechanics , physics , statistical physics , perturbation theory (quantum mechanics) , variational monte carlo , mathematics , mathematical optimization , molecule , bioinformatics , hubbard model , superconductivity , biology
We present a generalization of the variational principle that is compatible with any Hamiltonian eigenstate that can be specified uniquely by a list of properties. This variational principle appears to be compatible with a wide range of electronic structure methods, including mean field theory, density functional theory, multireference theory, and quantum Monte Carlo. Like the standard variational principle, this generalized variational principle amounts to the optimization of a nonlinear function that, in the limit of an arbitrarily flexible wave function, has the desired Hamiltonian eigenstate as its global minimum. Unlike the standard variational principle, it can target excited states and select individual states in cases of degeneracy or near-degeneracy. As an initial demonstration of how this approach can be useful in practice, we employ it to improve the optimization efficiency of excited state mean field theory by an order of magnitude. With this improved optimization, we are able to demonstrate that the accuracy of the corresponding second-order perturbation theory rivals that of singles-and-doubles equation-of-motion coupled cluster in a substantially broader set of molecules than could be explored by our previous optimization methodology.

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