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%% This BibTeX bibliography file was created using BibDesk.
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%% https://bibdesk.sourceforge.io/
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%% Created for Pierre-Francois Loos at 2022-03-09 10:00:09 +0100
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%% Created for Pierre-Francois Loos at 2022-03-09 10:25:47 +0100
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%% Saved with string encoding Unicode (UTF-8)
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@article{Henderson_2014b,
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author = {Henderson, Thomas M. and Scuseria, Gustavo E. and Dukelsky, Jorge and Signoracci, Angelo and Duguet, Thomas},
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date-added = {2022-03-09 10:25:38 +0100},
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date-modified = {2022-03-09 10:25:38 +0100},
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doi = {10.1103/PhysRevC.89.054305},
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file = {/home/antoinem/Zotero/storage/NBW3DPNI/Henderson et al. - 2014 - Quasiparticle coupled cluster theory for pairing i.pdf;/home/antoinem/Zotero/storage/URGVY3VT/PhysRevC.89.html},
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journal = {Phys. Rev. C},
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pages = {054305},
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publisher = {{American Physical Society}},
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title = {Quasiparticle Coupled Cluster Theory for Pairing Interactions},
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volume = {89},
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year = {2014},
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bdsk-url-1 = {https://doi.org/10.1103/PhysRevC.89.054305}}
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@misc{Johnson_2022,
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archiveprefix = {arXiv},
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author = {Paul A. Johnson and Paul W. Ayers and Stijn De Baerdemacker and Peter A. Limacher and Dimitri Van Neck},
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date-added = {2022-03-09 10:22:06 +0100},
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date-modified = {2022-03-09 10:22:06 +0100},
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doi = {10.48550/arXiv.2203.02624},
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eprint = {2203.02624},
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primaryclass = {physics.chem-ph},
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title = {Bivariational Principle for an Antisymmetrized Product of Nonorthogonal Geminals Appropriate for Strong Electron Correlation},
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year = {2022},
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bdsk-url-1 = {https://doi.org/10.48550/arXiv.2203.02624}}
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@misc{Fecteau_2022,
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archiveprefix = {arXiv},
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author = {Charles-{\'E}mile Fecteau and Samuel Cloutier and Jean-David Moisset, J{\'e}r{\'e}my Boulay and Patrick Bultinck and Alexandre Faribault and Paul A. Johnson},
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date-added = {2022-03-09 10:19:23 +0100},
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date-modified = {2022-03-09 10:23:18 +0100},
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doi = {10.48550/arXiv.2202.12402},
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eprint = {2202.12402},
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primaryclass = {physics.chem-ph},
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title = {Near-exact treatment of seniority-zero ground and excited states with a Richardson-Gaudin mean-field},
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year = {2022}}
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@article{Davidson_1975,
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author = {E. R. Davidson},
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date-added = {2022-03-09 10:00:08 +0100},
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@ -104,7 +104,7 @@ while higher sectors tend to contribute progressively less. \cite{Bytautas_2011,
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\titou{In addition, sCI0 is size-consistent, a property that is not shared by higher orders of seniority-based CI.}
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However, already at the sCI0 level, $\Ndet$ scales exponentially with $\Nbas$, since excitations of all degrees are included.
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Therefore, despite the encouraging successes of seniority-based CI methods, their unfavorable computational scaling restricts applications to very small systems. \cite{Shepherd_2016}
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Besides CI, other methods that exploit the concept of seniority number have been pursued. \cite{Limacher_2013,Limacher_2014,Tecmer_2014,Boguslawski_2014a,Boguslawski_2015,Boguslawski_2014b,Boguslawski_2014c,Johnson_2017,Fecteau_2020,Johnson_2020,Henderson_2014,Stein_2014,Henderson_2015,Chen_2015,Bytautas_2018}
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Besides CI, other methods that exploit the concept of seniority number have been pursued. \cite{Limacher_2013,Limacher_2014,Tecmer_2014,Boguslawski_2014a,Boguslawski_2015,Boguslawski_2014b,Boguslawski_2014c,Johnson_2017,Fecteau_2020,Johnson_2020,Henderson_2014,Stein_2014,Henderson_2015,Chen_2015,Bytautas_2018,Johnson_2022,Fecteau_2022}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%\section{Hierarchy configuration interaction}
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@ -146,7 +146,6 @@ By combining $e$ and $s$ as is Eq.~\eqref{eq:h}, we ensure that both directions
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Rather than filling the map top-bottom (as in excitation-based CI) or left-right (as in seniority-based CI), the hCI methods fills it diagonally.
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In this sense, we hope to recover dynamic correlation by moving right in the map (increasing the excitation degree while keeping a low seniority number),
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at the same time as static correlation, by moving down (increasing the seniority number while keeping a low excitation degree).
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%dynamic correlation is recovered with traditional CI.
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The second justification is computational.
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In the hCI class of methods, each level of theory accommodates additional determinants from different excitation-seniority sectors (each block of same color tone in Fig.~\ref{fig:allCI}).
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@ -231,20 +230,19 @@ We employed the algorithm described elsewhere \cite{Damour_2021} and also implem
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In order to avoid converging to a saddle point solution, we employed a similar strategy as recently described in Ref.~\onlinecite{Elayan_2022}.
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Namely, whenever the eigenvalue of the orbital rotation Hessian is negative and the corresponding gradient component $g_i$ lies below a given threshold $g_0$,
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then this gradient component is replaced by $g_0 \abs{g_i}/g_i$.
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\fk{Here we took $g_0 = $ \SI{1}{\micro\hartree}, and considered the orbitals to be converged when the maximum orbital rotation gradient lies below \SI{0.1}{\milli\hartree}.}
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Here we took $g_0 = $ \SI{1}{\micro\hartree}, and considered the orbitals to be converged when the maximum orbital rotation gradient lies below \SI{0.1}{\milli\hartree}.
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While we cannot ensure that the obtained solutions are global minima in the orbital parameter space, we verified that in all stationary solutions surveyed here
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correspond to real minima (rather than maxima or saddle points).
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All CI calculations were performed for the cc-pVDZ basis set and with frozen core orbitals.
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For the \ce{HF} molecule we have also tested basis set effects, by considered the cc-pVTZ and cc-pVQZ basis sets.
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All CI calculations were performed with the cc-pVDZ basis set and within the frozen core approximation.
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For the \ce{HF} molecule we have also tested basis set effects, by considered the larger cc-pVTZ and cc-pVQZ basis sets.
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It is worth mentioning that obtaining smooth PECs for the orbital optimized calculations proved to be far from trivial.
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First, the orbital optimization started from the HF orbitals of each geometry.
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This usually lead to discontinuous PECs, meaning that distinct solutions of the orbital optimization have been found with our algorithm.
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First, the orbital optimization was started from the HF orbitals of each geometry.
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This usually led to discontinuous PECs, meaning that distinct solutions were found by our algorithm.
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Then, at some geometries that seem to present the lowest lying solution,
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the optimized orbitals were employed as the guess orbitals for the neighboring geometries, and so on, until a new PEC is obtained.
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This protocol is repeated until the PEC built from the lowest lying oo-CI solution becomes continuous.
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This protocol was repeated until the PEC built from the lowest lying oo-CI solution becomes continuous.
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%While we cannot guarantee that the presented solutions represent the global minima, we believe that in most cases the above protocol provides at least close enough solutions.
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%Multiple solutions for the orbital optimization are usually found, meaning several local minimal in the orbital parameter landscape.
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We recall that saddle point solutions were purposely avoided in our orbital optimization algorithm. If that was not the case, then even more stationary solutions would have been found.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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@ -362,10 +360,9 @@ Following the same trend, oo-CISD presents smaller NPEs than HF-CISD for the mul
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oo-CIS has significantly smaller NPEs than HF-CIS, being comparable to oo-hCI1 for all systems except for \ce{H4} and \ce{H8}, where the latter method performs better.
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We will come back to oo-CIS latter.
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Based on the present oo-CI results, hCI still has the upper hand when compared with excitation-based CI, though by a much smaller margin.
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%It does, however, lead to a more monotonic convergence in the case of hCI, which is not necessarily an advantage.
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Orbital optimization usually reduces the NPE for seniority-based CI (in this case we only considered oo-DOCI) as well.
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The gain is specially noticeable for \ce{H4} and \ce{H8} (where the orbitals become symmetry-broken \cite{}),
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The gain is specially noticeable for \ce{H4} and \ce{H8} (where the orbitals become symmetry-broken \cite{Henderson_2014}),
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and much less so for \ce{HF}, ethylene, and \ce{N2} (where the orbitals remain symmetry-preserved).
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This is in line with what has been observed before for \ce{N2}. \cite{Bytautas_2011}
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For \ce{F2}, we found that orbital optimization actually increases the NPE (though by a small amount),
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