SI for QUESTDB
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@ -297,6 +297,17 @@ where $E_{\text{var}}^{(m)}$ and $E_{\text{rPT2}}^{(m)}$ are calculated with CIP
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This relation is valid in the regime of a sufficiently large number of determinants where the second-order perturbational correction largely dominates.
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This relation is valid in the regime of a sufficiently large number of determinants where the second-order perturbational correction largely dominates.
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In theory, the coefficient $\alpha^{(m)}$ should be equal to one but, in practice, due to the residual higher-order terms, it deviates slightly from unity.
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In theory, the coefficient $\alpha^{(m)}$ should be equal to one but, in practice, due to the residual higher-order terms, it deviates slightly from unity.
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For the largest systems considered here, $\abs{E_{\text{rPT2}}}$ can be as large as 2~eV and, thus,
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the accuracy of the excitation energy estimates strongly depends on our ability to compensate the errors in the calculations.
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Here, we greatly enhance the compensation of errors by making use of
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our selection procedure ensuring that the rPT2 values of both states
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match as well as possible (a trick known as PT2 matching
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\cite{Dash_2018,Dash_2019}), i.e. $E_{\text{rPT2}} =
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E_{\text{rPT2}}^{(0)} \approx E_{\text{rPT2}}^{(m)}$, and
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by using a common set of state-averaged natural orbitals with equal weights for the ground and excited states.
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%This last feature tends to make the values of $\alpha^{(0)}$ and $\alpha^{(m)}$ very close to each other, such that the error on the energy difference is decreased.
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Using Eq.~\eqref{eqx} the estimated error on the CIPSI energy is calculated as
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Using Eq.~\eqref{eqx} the estimated error on the CIPSI energy is calculated as
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\begin{equation}
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\begin{equation}
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E_{\text{CIPSI}}^{(m)} - E_{\text{FCI}}^{(m)}
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E_{\text{CIPSI}}^{(m)} - E_{\text{FCI}}^{(m)}
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@ -312,17 +323,6 @@ state is given by
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+ \mathcal{O}\qty[{E_{\text{rPT2}}^2 }]
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+ \mathcal{O}\qty[{E_{\text{rPT2}}^2 }]
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\end{equation}
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\end{equation}
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which evidences that the error in $\Delta E_{\text{FCI}}^{(m)}$ can be expressed as $\qty(\alpha^{(m)}-\alpha^{(0)}) E_{\text{rPT2}} + \mathcal{O}\qty[{E_{\text{rPT2}}^2}]$.
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which evidences that the error in $\Delta E_{\text{FCI}}^{(m)}$ can be expressed as $\qty(\alpha^{(m)}-\alpha^{(0)}) E_{\text{rPT2}} + \mathcal{O}\qty[{E_{\text{rPT2}}^2}]$.
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Now, for the largest systems considered here, $\abs{E_{\text{rPT2}}}$ can be as large as 2~eV and, thus,
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the accuracy of the excitation energy estimates strongly depends on our ability to compensate the errors in the calculations.
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Here, we greatly enhance the compensation of errors by making use of
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our selection procedure ensuring that the PT2 values of both states
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match as well as possible (a trick known as PT2 matching
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\cite{Dash_2018,Dash_2019}), i.e. $E_{\text{rPT2}} =
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E_{\text{rPT2}}^{(0)} \approx E_{\text{rPT2}}^{(m)}$, and
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by using a common set of state-averaged natural orbitals with equal weights for the ground and excited states.
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This last feature tends to make the values of $\alpha^{(0)}$ and $\alpha^{(m)}$ very close to each other, such that the error on the energy difference
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is decreased.
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In the ideal case where one is able to fully correlate the CIPSI calculations associated with the ground and excited states, the fluctuations of
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In the ideal case where one is able to fully correlate the CIPSI calculations associated with the ground and excited states, the fluctuations of
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$\Delta E_\text{CIPSI}^{(m)}(n)$ as a function of the iteration number $n$ would completely vanish and the exact excitation energy would be obtained from the first CIPSI iterations.
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$\Delta E_\text{CIPSI}^{(m)}(n)$ as a function of the iteration number $n$ would completely vanish and the exact excitation energy would be obtained from the first CIPSI iterations.
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Quite remarkably, in practice, numerical experience shows that the fluctuations with respect to the extrapolated value $\Delta E_\text{FCI}^{(m)}$ are small,
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Quite remarkably, in practice, numerical experience shows that the fluctuations with respect to the extrapolated value $\Delta E_\text{FCI}^{(m)}$ are small,
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@ -1316,13 +1316,19 @@ Besides this, because computing 500 (or so) excitation energies can be a costly
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We hope to report on this in the near future.
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We hope to report on this in the near future.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{acknowledgements}
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%\section*{acknowledgements}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%AS, MC, and PFL thank the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No.~863481) for financial support.
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%Support from the \textit{``Centre National de la Recherche Scientifique''} is acknowledged.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{research resources}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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This work was performed using HPC resources from GENCI-TGCC (Grand Challenge 2019-gch0418) and from CALMIP (Toulouse) under allocation 2020-18005.
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This work was performed using HPC resources from GENCI-TGCC (Grand Challenge 2019-gch0418) and from CALMIP (Toulouse) under allocation 2020-18005.
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AS, MC, and PFL thank the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No.~863481) for financial support.
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Funding from the \textit{``Centre National de la Recherche Scientifique''} is also acknowledged.
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DJ acknowledges the \textit{R\'egion des Pays de la Loire} for financial support and the CCIPL computational center for ultra-generous allocation of computational time.
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DJ acknowledges the \textit{R\'egion des Pays de la Loire} for financial support and the CCIPL computational center for ultra-generous allocation of computational time.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{conflict of interest}
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\section*{conflict of interest}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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