Response
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\usepackage{graphicx,dcolumn,bm,xcolor,microtype,multirow,amscd,amsmath,amssymb,amsfonts,physics,wrapfig,txfonts,siunitx}
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\usepackage{graphicx,dcolumn,bm,xcolor,microtype,multirow,amscd,amsmath,amssymb,amsfonts,physics,wrapfig,txfonts,siunitx}
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% Abstract
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% Abstract
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\begin{abstract}
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\begin{abstract}
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{\bf Abstract:}
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We propose a novel partitioning of the Hilbert space, hierarchy configuration interaction (hCI),
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We propose a novel partitioning of the Hilbert space, hierarchy configuration interaction (hCI),
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where the excitation degree (with respect to a given reference determinant) and the seniority number (\ie, the number of unpaired electrons) are combined in a single hierarchy parameter.
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where the excitation degree (with respect to a given reference determinant) and the seniority number (\ie, the number of unpaired electrons) are combined in a single hierarchy parameter.
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The key appealing feature of hCI is that each hierarchy level accounts for all classes of determinants whose number share the same scaling with system size.
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The key appealing feature of hCI is that each hierarchy level accounts for all classes of determinants whose number share the same scaling with system size.
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@ -64,7 +65,7 @@ The exception is orbital-optimized CI with single excitations, a minimally corre
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at a very modest computational cost.
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at a very modest computational cost.
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\bigskip
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\bigskip
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\begin{center}
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\begin{center}
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\boxed{\includegraphics[width=0.4\linewidth]{TOC}}
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\boxed{\includegraphics[keepaspectratio,width=2in]{TOC}}
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\end{center}
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\end{center}
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\bigskip
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\bigskip
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\end{abstract}
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\end{abstract}
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@ -102,6 +103,8 @@ In addition, sCI0 is size-consistent, a property that is not shared by higher or
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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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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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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,Johnson_2022,Fecteau_2022}
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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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\textcolor{red}{In particular, coupled cluster restricted to paired double excitations, which is the same as the antisymmetric product of 1-reference orbital geminals,
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provides very similar energies as DOCI, and at a very favourable polynomial cost.}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%\section{Hierarchy configuration interaction}
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%\section{Hierarchy configuration interaction}
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@ -141,8 +144,8 @@ The first one is physical.
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We know that the lower degrees of excitations and lower seniority sectors, when looked at individually, often carry the most important contribution to the FCI expansion.
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We know that the lower degrees of excitations and lower seniority sectors, when looked at individually, often carry the most important contribution to the FCI expansion.
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By combining $e$ and $s$ as is Eq.~\eqref{eq:h}, we ensure that both directions in the excitation-seniority map (see Fig.~\ref{fig:allCI}) are contemplated.
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By combining $e$ and $s$ as is Eq.~\eqref{eq:h}, we ensure that both directions in the excitation-seniority map (see Fig.~\ref{fig:allCI}) are contemplated.
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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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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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In this sense, we hope to recover dynamic correlation by moving right in the map (increasing the \textcolor{red}{seniority number} while keeping a low \textcolor{red}{excitation degree}),
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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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at the same time as static correlation, by moving down (increasing the \textcolor{red}{excitation degree} while keeping a low \textcolor{red}{seniority number}).
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The second justification is computational.
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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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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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Response_Letter/Response_Letter.tex
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\documentclass[10pt]{letter}
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\usepackage{UPS_letterhead,xcolor,mhchem,ragged2e,hyperref}
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\usepackage{physics}
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\newcommand{\alert}[1]{\textcolor{red}{#1}}
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\definecolor{darkgreen}{HTML}{009900}
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\begin{document}
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\begin{letter}%
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{To the Editors of the The Journal of Physical Chemistry Letters,}
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\opening{Dear Editors,}
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\justifying
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Please find attached a revised version of the manuscript entitled
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\textit{``Hierarchy Configuration Interaction: Combining Seniority Number and Excitation Degree''}.
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We thank the reviewer for the positive appreciation of our work and the suggestion, which we agree to be pertinent.
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Our detailed response can be found below.
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For convenience, changes are highlighted in red in the revised version of the manuscript.
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We look forward to hearing from you.
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\closing{Sincerely, the authors.}
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\newpage
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%%% REVIEWER 1 %%%
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\noindent \textbf{\large Authors' answer to Reviewer \#1}
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This manuscript is very well presented and pleasant to read. The figures and the extensive supporting information are very much appreciated.
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Strongly correlated electronic systems are difficult to treat in a Slater determinant basis. At equilibrium, ``excitation-based'' CI converges quickly, while at dissociation, (oo-) seniority based CI is better. The authors present a way to combine these ideas in a single hierarchy to try to get the advantages of both, and they do: hCI is better at dissociation than excitation CI, and better at equilibrium than seniority CI. Viewed as CI methods, I agree entirely that hCI is superior as it is much cheaper than seniority CI and scales similar to excitation CI.
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I strongly recommend publication with one minor caveat:
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- The authors cite refs 14-30 which show that seniority zero CI is essentially the same as a mean-field of seniority zero pairs, which has $\order*{N^4}$ cost. I feel this point is rather important as oo-seniority zero CI is itself intractable, and the authors could modify the statement citing refs 14-30.
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The presentation is professional. I have a lot of respect for this group, and I will cite this paper at the next opportunity.
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\alert{We thank the reviewer for the supportive comments.}
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\alert{Concerning the point raised, we have included a sentence on page 1, which reads ``In particular, coupled cluster restricted to paired double excitations, which is the same as the antisymmetric product of 1-reference orbital geminals, provides very similar energies as DOCI, and at a very favourable polynomial cost''.}
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\end{letter}
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\end{document}
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%ANU etterhead Yves
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%version 1.0 12/06/08
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%need to be improved
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\RequirePackage{graphicx}
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%%%%%%%%%%%%%%%%%%%%% DEFINE USER-SPECIFIC MACROS BELOW %%%%%%%%%%%%%%%%%%%%%
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\def\Who {Pierre-Fran\c{c}ois Loos}
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\def\What {Dr}
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\def\Where {Universit\'e Paul Sabatier}
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\def\Address {Laboratoire de Chimie et Physique Quantiques}
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\def\CityZip {Toulouse, France}
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\def\Email {loos@irsamc.ups-tlse.fr}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MARGINS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\textwidth 6in
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%%%%%%%%%%%%%%%%%%%%%%%%%%% ADDRESS MACRO BELOW %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\includegraphics[height=0.7in]{CNRS_logo.pdf} \hspace*{\fill}\includegraphics[height=0.7in]{UPS_logo.pdf}
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%I do not know what does the macro below
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