Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Variational optimization of second order density matrices: the past, the present and the future

Helen van Aggelen, Brecht Verstichel, Patrick Bultinck, Dimitri Van Neck, Paul W. Ayers

Published Jan 1, 2012• 0 citations
OpenAlex

Related papers

Variational calculation of second-order reduced density matrices by strong N -representability conditions and an accurate semidefinite programming solver

Katsuki Fujisawa

•Jan 1, 2008•0 citations

Solving large-scale semidefinite programs for the variational calculation of second-order reduced density matrices in fermionic system

福田, 光浩, Mituhiro Fukuda

•Feb 1, 2010•0 citations

Variational approach to electronic structure calculations on second-order reduced density matrices and the N-representability problem

真秀 中田, Maho Nakata, 光浩 福田 +3 more

•Jan 1, 2013•0 citations

Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm

真秀 中田, Maho Nakata, 博 中辻 +8 more

•Jan 1, 2001•0 citations

Variational perturbation theory for density matrices

Michael Bachmann, Hagen M. Kleinert, Axel Pelster

We develop a convergent variational perturbation theory for quantum-statistical density matrices which is applicable to polynomial as well as nonpolynomial interactions. We illustrate the power of the theory by calculating the temperature-dependent density of a particle in the double-well potential to second order, and of the electron in the hydrogen atom to first order.

arXiv:quant-ph/9812063•Physical Review A•Nov 1, 1999•20 citations

Variational density matrix optimization using semidefinite programming

Brecht Verstichel, Helen van Aggelen, Dimitri Van Neck +2 more

arXiv:1006.3721•Computer Physics Communications•Dec 30, 2010•4 citations