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%% Created for Pierre-Francois Loos at 2022-03-06 22:50:10 +0100
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@article{Lee_2021,
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@article{Dash_2019,
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@article{Cuzzocrea_2022,
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@article{Dash_2021,
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@article{Fecteau_2020,
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@article{Tecmer_2015,
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|
||||
abstract = {We discuss some strategies for extending recent geminal-based methods to open-shells by replacing the geminal-creation operators with more general composite boson creation operators, and even creation operators that mix fermionic and bosonic components. We also discuss the utility of symmetry-breaking and restoration, but using a projective (not a variational) approach. Both strategies---either together or separately---give a pathway for extending geminals-based methods to open shells, while retaining the computational efficiency and conceptual simplicity of existing geminal product wavefunctions.},
|
||||
author = {Paul A. Johnson and Peter A. Limacher and Taewon D. Kim and Michael Richer and Ram{\'o}n Alain Miranda-Quintana and Farnaz Heidar-Zadeh and Paul W. Ayers and Patrick Bultinck and Stijn {De Baerdemacker} and Dimitri {Van Neck}},
|
||||
date-added = {2022-03-06 20:15:46 +0100},
|
||||
date-modified = {2022-03-06 20:15:46 +0100},
|
||||
doi = {https://doi.org/10.1016/j.comptc.2017.05.010},
|
||||
journal = {Comput. Theor. Chem.},
|
||||
pages = {207-219},
|
||||
title = {Strategies for extending geminal-based wavefunctions: Open shells and beyond},
|
||||
volume = {1116},
|
||||
year = {2017},
|
||||
bdsk-url-1 = {https://www.sciencedirect.com/science/article/pii/S2210271X17302359},
|
||||
bdsk-url-2 = {https://doi.org/10.1016/j.comptc.2017.05.010}}
|
||||
|
||||
@article{Limacher_2014,
|
||||
author = {Limacher, Peter A. and Kim, Taewon D. and Ayers, Paul W. and Johnson, Paul A. and Baerdemacker, Stijn De and Neck, Dimitri Van and Bultinck, Patrick},
|
||||
date-added = {2022-03-06 20:15:46 +0100},
|
||||
date-modified = {2022-03-06 20:15:46 +0100},
|
||||
doi = {10.1080/00268976.2013.874600},
|
||||
file = {/home/antoinem/Zotero/storage/QK9XACGM/Limacher et al. - 2014 - The influence of orbital rotation on the energy of.pdf;/home/antoinem/Zotero/storage/RB83UH42/00268976.2013.html},
|
||||
journal = {Mol. Phys.},
|
||||
pages = {853--862},
|
||||
publisher = {{Taylor \& Francis}},
|
||||
title = {The Influence of Orbital Rotation on the Energy of Closed-Shell Wavefunctions},
|
||||
volume = {112},
|
||||
year = {2014},
|
||||
bdsk-url-1 = {https://doi.org/10.1080/00268976.2013.874600}}
|
||||
|
||||
@article{Ayers_2018,
|
||||
author = {P. W. Ayers and M. Levy and \'A. Nagy},
|
||||
date-added = {2022-03-06 20:15:46 +0100},
|
||||
date-modified = {2022-03-06 20:15:46 +0100},
|
||||
doi = {10.1007/s00214-018-2352-7},
|
||||
journal = {Theor. Chem. Acc.},
|
||||
pages = {137},
|
||||
title = {Time‐independent density functional theory for degenerate excited states of Coulomb systems},
|
||||
year = {2018},
|
||||
bdsk-url-1 = {https://doi.org/10.1007/s00214-018-2352-7}}
|
||||
|
||||
@article{Garniron_2018,
|
||||
author = {Y. Garniron and A. Scemama and E. Giner and M. Caffarel and P. F. Loos},
|
||||
date-added = {2022-03-06 15:23:54 +0100},
|
||||
|
@ -102,7 +102,7 @@ In this context, one accounts for all determinants generated by exciting up to $
|
||||
In this way, the excitation degree $e$ defines the following sequence of models:
|
||||
CI with single excitations (CIS), CI with single and double excitations (CISD), CI with single, double, and triple excitations (CISDT), and so on.
|
||||
Excitation-based CI manages to quickly recover weak (dynamic) correlation effects, but struggles in strong (static) correlation regimes.
|
||||
Importantly, the number of determinants $\Ndet$ (which is the key parameter governing the computational cost) scales polynomially with the number of \titou{basis functions} $\Nbas$ as $N^{2e}$.
|
||||
Importantly, the number of determinants $\Ndet$ (which is the key parameter governing the computational cost) scales polynomially with the number of \titou{basis functions} $\Nbas$ as $\Nbas^{2e}$.
|
||||
%This means that the contribution of higher excitations become progressively smaller.
|
||||
|
||||
Alternatively, seniority-based CI methods (sCI) have been proposed in both nuclear \cite{Ring_1980} and electronic \cite{Bytautas_2011} structure calculations.
|
||||
@ -112,8 +112,7 @@ which has been shown to be particularly effective at catching static correlation
|
||||
while higher sectors tend to contribute progressively less. \cite{Bytautas_2011,Bytautas_2015,Alcoba_2014b,Alcoba_2014}
|
||||
However, already at the sCI0 level, $\Ndet$ scales exponentially with $\Nbas$, since excitations of all excitation degrees are included.
|
||||
Therefore, despite the encouraging successes of seniority-based CI methods, their unfavorable computational scaling restricts applications to very small systems.
|
||||
Besides CI, other methods that exploit the concept of seniority number have been pursued. \cite{Henderson_2014,Chen_2015,Bytautas_2018}
|
||||
\titou{T2: I think we need to cite the papers of the Canadians here.}
|
||||
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,Chen_2015,Bytautas_2018}
|
||||
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
@ -214,8 +213,7 @@ The NPE is defined as the maximum minus the minimum differences between the PECs
|
||||
We define the distance error as the maximum and the minimum differences between a given PEC and the FCI result.
|
||||
Thus, while the NPE probes the similarity regarding the shape of the PECs, the distance error provides a measure of how their overall magnitudes compare.
|
||||
From the PECs, we have also extracted the vibrational frequencies and equilibrium geometries (details can be found in the \SupInf).
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
%\section{Computational details}
|
||||
%\label{sec:compdet}
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
@ -231,6 +229,13 @@ which are not related to the particular algorithmic choices of the CIPSI calcula
|
||||
All CI calculations were performed for the cc-pVDZ basis set and with frozen core orbitals.
|
||||
For \ce{HF} we have also tested basis set effects, by considered the cc-pVTZ and cc-pVQZ basis sets.
|
||||
\titou{Geometries? SI?}
|
||||
\titou{T2: I think it might be worth mentioning that the determinant-driven framework of {\QP} allows to include any arbitrary set of determinants.
|
||||
This would also justify why we are focusing on the number of determinants instead of the actual scaling of the method.
|
||||
I think this is a important point because the CISD Hilbert space has a size proportional to $N^4$ but the cost associated with solving the CISD equations scales as $N^6$... Actually, it follows the same rules as CC: CISD scales as $N^6$, CISDT as $N^8$, CISDTQ as $N^{10}$, etc.
|
||||
We have to mention this somewhere.
|
||||
Also, it is worth mentioning that one uses Davidson's iterative algorithm to seek for the ground-state energy which means that the computation and storage cost us $\order*{\Ndet^2}$ and $\order*{\Ndet}$, respectively.
|
||||
This shows that the determinant-driven algorithm is definitely not optimal.
|
||||
However, the selected nature of the CIPSI algorithm means that the actual number of determinants is quite small and therefore calculations are technically feasable.}
|
||||
|
||||
The CI calculations were performed with both canonical HF orbitals and optimized orbitals.
|
||||
In the latter case, the energy is obtained variationally in the CI space and in the orbital parameter space, hence an orbital-optimized CI (oo-CI) method.
|
||||
@ -244,14 +249,13 @@ correspond to real minima (rather than maxima or saddle points).
|
||||
It is worth mentioning that obtaining smooth PECs for the orbital optimized calculations proved to be far from trivial.
|
||||
First, the orbital optimization started from the HF orbitals of each geometry.
|
||||
This usually lead to discontinuous PECs, meaning that distinct solutions of the orbital optimization have been found with our algorithm.
|
||||
Then, at some geometry or geometries that seem to present the lowest lying solution,
|
||||
Then, at some geometries that seem to present the lowest lying solution,
|
||||
the optimized orbitals were employed as the guess orbitals for the neighboring geometries, and so on, until a new PEC is obtained.
|
||||
This protocol is repeated until the PEC built from the lowest lying oo-CI solution becomes continuous.
|
||||
%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.
|
||||
%Multiple solutions for the orbital optimization are usually found, meaning several local minimal in the orbital parameter landscape.
|
||||
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.
|
||||
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
%\section{Results and discussion}
|
||||
%\label{sec:res}
|
||||
@ -264,15 +268,16 @@ We recall that saddle point solutions were purposely avoided in our orbital opti
|
||||
%\subsection{Non-parallelity errors}
|
||||
|
||||
In Fig.~\ref{fig:plot_stat} we present the NPEs for the six systems studied, and for the three classes of CI methods,
|
||||
as functions of the number of determinants, $\Ndet$.
|
||||
as functions of $\Ndet$.
|
||||
The corresponding PECs and the energy differences with respect to the FCI results can be found in the \SupInf.
|
||||
The main result contained in Fig.~\ref{fig:plot_stat} concerns the overall faster convergence of the hCI methods when compared to excitation-based and seniority-based CI methods.
|
||||
This is observed for single bond breaking (\ce{HF} and \ce{F2}) as well as the more challenging double (ethylene), triple (\ce{N2}), and quadruple (\ce{H4}) bond breaking.
|
||||
For \ce{H8}, hCI and excitation-based CI perform similarly.
|
||||
The convergence with respect to $\Ndet$ is slower in the latter, more challenging cases, irrespective of the class of CI methods, as would be expected.
|
||||
But more importantly, the superiority of the hCI methods appears to be highlighted in the multiple bond break systems (compare ethylene and \ce{N2} with \ce{HF} and \ce{F2} in Fig.~\ref{fig:plot_stat}).
|
||||
\titou{T2: Would it be a good idea to write the \ce{HF} molecule as \ce{FH}?}
|
||||
|
||||
For \ce{HF} we also evaluated the convergence is affected by increasing the basis sets, going from cc-pVDZ to cc-pVTZ and cc-pVQZ basis sets (see Fig.Sx in the \SupInf).
|
||||
For \ce{HF} we have also evaluated how the convergence is affected by increasing the basis sets, going from cc-pVDZ to cc-pVTZ and cc-pVQZ (see Fig.~Sx in the \SupInf).
|
||||
While a larger $\Ndet$ is required to achieve the same level of convergence, as expected,
|
||||
the convergence profiles remain very similar for all basis sets.
|
||||
We thus believe that the main findings discussed here for the other systems would be equally basis set independent.
|
||||
@ -286,7 +291,7 @@ We thus believe that the main findings discussed here for the other systems woul
|
||||
\end{figure}
|
||||
%%% %%% %%%
|
||||
|
||||
For all systems (specially ethylene and \ce{N2}), hCI2 is better than CISD, two methods where $\Ndet$ scales as $N^4$.
|
||||
For all systems (specially ethylene and \ce{N2}), hCI2 is better than CISD, two methods where $\Ndet$ scales as $\Nbas^4$.
|
||||
hCI2.5 is better than CISDT (except for \ce{H8}), despite its lower computational cost, whereas hCI3 is much better than CISDT, and comparable in accuracy with CISDTQ (again for all systems).
|
||||
Inspection of the PECs (see \SupInf) reveals that the lower NPEs observed for hCI stem mostly from the contribution of the dissociation region.
|
||||
This result demonstrates the importance of higher-order excitations with low seniority number in this strong correlation regime,
|
||||
@ -296,7 +301,7 @@ Meanwhile, the first level of seniority-based CI (sCI0, which is the same as DOC
|
||||
tends to offer a rather low NPE when compared to the other CI methods with a similar $\Ndet$ (hCI2.5 and CISDT).
|
||||
However, convergence is clearly slower for the next levels (sCI2 and sCI4), whereas excitation-based CI and specially hCI methods converge faster.
|
||||
Furthermore, seniority-based CI becomes less attractive for larger basis set in view of its exponential scaling.
|
||||
This can be seen in Fig.Sx of the \SupInf, which shows that augmenting the basis set leads to a much steeper increase of $\Ndet$ for seniority-based CI.
|
||||
This can be seen in Fig.~Sx of the \SupInf, which shows that augmenting the basis set leads to a much steeper increase of $\Ndet$ for seniority-based CI.
|
||||
|
||||
It is worth mentioning the surprisingly good performance of the hCI1 and hCI1.5 methods.
|
||||
For \ce{HF}, \ce{F2}, and ethylene, they presented lower NPEs than the much more expensive CISDT method, being slightly higher in the case of \ce{N2}.
|
||||
@ -306,9 +311,9 @@ Both findings are not observed for \ce{H4} and \ce{H8}.
|
||||
It seems that both the relative worsening of hCI2 and the success of hCI1 and hCI1.5
|
||||
become less apparent as progressively more bonds are being broken (compare for instance \ce{F2}, \ce{N2}, and \ce{H8} in Fig.~\ref{fig:plot_stat}).
|
||||
This reflects the fact that higher-order excitations are needed to properly describe multiple bond breaking,
|
||||
and also hints at some cancelation of erros in low order hCI methods for single bond breaking.
|
||||
and also hints at some cancelation of errors in low-order hCI methods for single bond breaking.
|
||||
|
||||
In Fig.Sx of the \SupInf, we present the distance error, which is also found to decrease faster with the hCI methods.
|
||||
In Fig.~Sx of the \SupInf, we present the distance error, which is also found to decrease faster with the hCI methods.
|
||||
Most of observations discussed for the NPE also hold for the distance error, with two main differences.
|
||||
The convergence is always monotonic for the latter observable (which is expected from the definition of the observable),
|
||||
and the performance of seniority-based CI is much poorer (due to the slow recovery of dynamic correlation).
|
||||
@ -323,7 +328,7 @@ For both observables, hCI and excitation-based CI largely outperform seniority-b
|
||||
Similarly to what we observed for the NPEs, the convergence of hCI was also found to be non-monotonic in some cases.
|
||||
This oscillatory behavior is particularly evident for \ce{F2}, also noticeable for \ce{HF}, becoming less apparent for ethylene, virtually absent for \ce{N2},
|
||||
and showing up again for \ce{H4} and \ce{H8}.
|
||||
Results for \ce{HF} with larger basis sets (see Fig.Sx in the \SupInf) show very similar convergence behaviours, though with less oscillations for the hCI methods.
|
||||
Results for \ce{HF} with larger basis sets (see Fig.Sx in the \SupInf) show very similar convergence behaviors, though with less oscillations for the hCI methods.
|
||||
Interestingly, equilibrium geometries and vibrational frequencies of \ce{HF} and \ce{F2} (single bond breaking),
|
||||
are rather accurate when evaluated at the hCI1.5 level, bearing in mind its relatively modest computational cost.
|
||||
|
||||
@ -347,6 +352,8 @@ are rather accurate when evaluated at the hCI1.5 level, bearing in mind its rela
|
||||
|
||||
%\subsection{Orbital optimized configuration interaction}
|
||||
|
||||
\titou{T2: Would it be a good idea to have mentioned that seniority-based schemes are not invariant with respect to orbital rotations?}
|
||||
|
||||
Up to this point, all results and discussions have been based on CI calculations with HF orbitals.
|
||||
Now we discuss the role of further optimizing the orbitals at each given CI calculation.
|
||||
Due to the significantly higher computational cost and numerical difficulties for optimizing the orbitals at higher levels of CI,
|
||||
@ -374,12 +381,12 @@ due to the larger energy lowering at the Franck-Condon region than at dissociati
|
||||
These results suggest that, when bond breaking involves one site, orbital optimization at the DOCI level does not have such an important role,
|
||||
at least in the sense of decreasing the NPE.
|
||||
|
||||
Optimizing the orbitals at the CI level also tends to benefit the convergence of vibrational frequencies and equilibrium geometries (shown in Fig.Sx of the \SupInf).
|
||||
Optimizing the orbitals at the CI level also tends to benefit the convergence of vibrational frequencies and equilibrium geometries (shown in Fig.~Sx of the \SupInf).
|
||||
The impact is often somewhat larger for hCI than for excitation-based CI, by a small margin.
|
||||
The large oscillations observed in the hCI convergence with HF orbitals (for \ce{HF} and \ce{F2}) are significantly suppressed upon orbital optimization.
|
||||
|
||||
We come back to the surprisingly good performance of oo-CIS, which is interesting due to its low computational cost.
|
||||
The PECs are compared with those of HF and FCI in Fig.Sx of the \SupInf.
|
||||
The PECs are compared with those of HF and FCI in Fig.~Sx of the \SupInf.
|
||||
At this level, the orbital rotations provide an optimized reference (different from the HF solution), from which only single excitations are performed.
|
||||
Since the reference is not the HF one, Brillouin's theorem no longer holds, and single excitations actually connect with the reference.
|
||||
Thus, with only single excitations (and a reference that is optimized in the presence of these excitations), one obtains a minimally correlated model.
|
||||
@ -405,7 +412,7 @@ Nevertheless, double (ethylene) and even triple (\ce{N2}) bond breaking still ap
|
||||
|
||||
In summary, here we have proposed a new scheme for truncating the Hilbert space in configuration interaction calculations, named hierarchy CI (hCI).
|
||||
By merging the excitation degree and the seniority number into a single hierarchy parameter $h$,
|
||||
the hCI method ensures that all classes of determinants sharing the same scaling with the number of electrons are included in each level of the hierarchy.
|
||||
the hCI method ensures that all classes of determinants sharing \titou{the same scaling with the number of electrons} are included in each level of the hierarchy.
|
||||
We evaluated the performance of hCI against the traditional excitation-based CI and seniority-based CI,
|
||||
by comparing PECs and derived quantities (non-parallelity errors, distance errors, vibrational frequencies, and equilibrium geometries)
|
||||
for six systems, ranging from single to multiple bond breaking.
|
||||
@ -417,9 +424,9 @@ The comparison to seniority-based CI is less trivial.
|
||||
DOCI (the first level of seniority-based CI) often provides even lower NPEs for a similar $\Ndet$, but it falls short in describing the other properties investigated here.
|
||||
If higher accuracy is desired, than the convergence is faster with hCI (and also excitation-based CI) than seniority-based CI, at least for HF orbitals.
|
||||
Finally, the exponential scaling of seniority-based CI in practice precludes this approach for larger systems and larger basis sets,
|
||||
while the favourable polynomial scaling and encouraging performance of hCI as an alternative.
|
||||
while the favorable polynomial scaling and encouraging performance of hCI as an alternative.
|
||||
|
||||
We found surprisingly good results for the first level of hCI (hCI1) and the orbital optimized version of CIS (oo-CIS), two methods with very favourable computational scaling.
|
||||
We found surprisingly good results for the first level of hCI (hCI1) and the orbital optimized version of CIS (oo-CIS), two methods with very favorable computational scaling.
|
||||
In particular, oo-CIS correctly describes single bond breaking.
|
||||
We hope to report on generalizations to excited states in the future.
|
||||
|
||||
@ -434,8 +441,8 @@ One interesting possibility to explore is to first optimize the orbitals at a lo
|
||||
|
||||
The hCI pathway presented here offers several interesting possibilities to pursue.
|
||||
One could generalize and adapt hCI for excited states and open-shell systems,
|
||||
develop coupled cluster methods based on an analogous excitation-seniority truncation of the excitation operator,
|
||||
and explore hCI wave functions for Quantum Monte Carlo simulations.
|
||||
develop coupled-cluster methods based on an analogous excitation-seniority truncation of the excitation operator, \cite{Aroeira_2021,Magoulas_2021,Lee_2021}
|
||||
and explore the accuracy of hCI trial wave functions for quantum Monte Carlo simulations. \cite{Dash_2019,Dash_2021,Cuzzocrea_2022}
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
\begin{acknowledgements}
|
||||
|
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