edits for analytic continuation
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@ -1648,7 +1648,7 @@ limit by defining a new series as
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\end{equation}
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\end{equation}
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This series can converge faster than the original partial sums and can thus provide greater
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This series can converge faster than the original partial sums and can thus provide greater
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accuracy using only the first few terms in the series.
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accuracy using only the first few terms in the series.
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However, it is designed to accelerate \titou{exponentially?} converging partial sums with
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However, it is only designed to accelerate converging partial sums with
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the approximate form
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the approximate form
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\begin{equation}
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\begin{equation}
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S_n \approx S + \alpha\,\beta^n.
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S_n \approx S + \alpha\,\beta^n.
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@ -1658,7 +1658,7 @@ there is no guarantee that this acceleration will be fast enough to significantl
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improve the accuracy of low-order approximations.
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improve the accuracy of low-order approximations.
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To the best of our knowledge, the Shanks transformation has never previously been applied
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To the best of our knowledge, the Shanks transformation has never previously been applied
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to the acceleration of the MP series.
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to accelerate the convergence of the MP series.
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We have therefore applied it to the convergent Taylor series, Pad\'e approximants, and quadratic
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We have therefore applied it to the convergent Taylor series, Pad\'e approximants, and quadratic
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approximants for RMP and UMP in the symmetric Hubbard dimer.
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approximants for RMP and UMP in the symmetric Hubbard dimer.
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The UMP approximants converge too slowly for the Shanks transformation
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The UMP approximants converge too slowly for the Shanks transformation
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@ -1668,8 +1668,8 @@ In contrast, acceleration of the diagonal Pad\'e approximants for the RMP cases
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can significantly improve the estimate of the energy using low-order perturbation terms,
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can significantly improve the estimate of the energy using low-order perturbation terms,
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as shown in Table~\ref{tab:RMP_shank}.
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as shown in Table~\ref{tab:RMP_shank}.
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Even though the RMP series diverges at $U/t = 4.5$, the combination
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Even though the RMP series diverges at $U/t = 4.5$, the combination
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of diagonal Pad\'e approximants with the Shanks transformation reduces the absolute error of
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of diagonal Pad\'e approximants with the Shanks transformation reduces the absolute error in
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the best energy estimate to 0.002\,\% using only the lowest 10 terms in the Taylor series.
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the best energy estimate to 0.002\,\% using only the first 10 terms in the Taylor series.
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This remarkable result indicates just how much information is contained in the first few
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This remarkable result indicates just how much information is contained in the first few
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terms of a perturbation series, even if it diverges.
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terms of a perturbation series, even if it diverges.
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@ -1703,20 +1703,59 @@ terms of a perturbation series, even if it diverges.
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\subsection{Analytic continuation}
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\subsection{Analytic continuation}
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%==========================================%
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%==========================================%
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Recently, Mih\'alka \textit{et al.} studied the partitioning effect on the convergence properties of Rayleigh-Schr\"odinger perturbation theory by considering the MP and the EN partitioning as well as an alternative partitioning \cite{Mihalka_2017a} (see also Ref.~\onlinecite{Surjan_2000}).
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Recently, Mih\'alka \etal\ have studied the effect of different partitionings, such as MP or EN theory, on the position of
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Taking as an example (in particular) the water molecule at equilibrium and at stretched geometries, they could estimate the radius of convergence via a quadratic Pad\'e approximant and convert divergent perturbation expansions to convergent ones in some cases thanks to a judicious choice of the level shift parameter.
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branch points and the convergence properties of Rayleigh--Schr\"odinger perturbation theory\cite{Mihalka_2017b} (see also
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In a subsequent study by the same group, \cite{Mihalka_2017b} they use analytic continuation techniques to resum divergent MP series \cite{Goodson_2011} taking again as an example the water molecule in a stretched geometry.
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Ref.~\onlinecite{Surjan_2000}).
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In a nutshell, their idea consists in calculating the energy of the system for several values of $\lambda$ for which the MP series is rapidly convergent (\ie, for $\abs{\lambda} < r_c$), and to extrapolate the final energy to the physical system at $\lambda = 1$ via a polynomial- or Pad\'e-based fit.
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Taking the equilibrium and stretched water structures as an example, they estimated the radius of convergence using quadratic
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However, the choice of the functional form of the fit remains a subtle task.
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Pad\'e approximants.
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This technique was first generalised by using complex scaling parameters and applying analytic continuation by solving the Laplace equation, \cite{Surjan_2018} and then further improved thanks to Cauchy's integral formula \cite{Mihalka_2019}
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The EN partitioning provided worse convergence properties than the MP partitioning, which is believed to be
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because the EN denominators are generally smaller than the MP denominators.
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To remedy the situation, they showed that introducing a suitably chosen level shift parameter can turn a
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divergent series into a convergent one by increasing the magnitude of these denominators.\cite{Mihalka_2017b}
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However, like the UMP series in stretched \ce{H2},\cite{Lepetit_1988}
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the cost of larger denominators is an overall slower rate of convergence.
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\begin{figure}
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\includegraphics[width=\linewidth]{rmp_anal_cont}
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\caption{%
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Comparison of the scaled RMP10 Taylor expansion with the exact RMP energy as a function
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of $\lambda$ for the symmetric Hubbard dimer at $U/t = 4$.
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The two functions correspond closely within the radius of convergence.
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}
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\label{fig:rmp_anal_cont}
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\end{figure}
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In a later study by the same group, they used analytic continuation techniques
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to resum a divergent MP series such as a stretched water molecule.\cite{Mihalka_2017a}
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Any MP series truncated at a given order $n$ can be used to define the scaled function
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\begin{equation}
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E_{\text{MP}n}(\lambda) = \sum_{k=0}^{n} \lambda^{k} E^{(k)}.
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\end{equation}
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Reliable estimates of the energy can be obtained for values of $\lambda$ where the MP series is rapidly
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convergent (\ie, for $\abs{\lambda} < \rc$), as shown in Fig.~\ref{fig:rmp_anal_cont} for the RMP10 series
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of the symmetric Hubbard dimer with $U/t = 4.5$.
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These values can then be analytically continued using a polynomial- or Pad\'e-based fit to obtain an
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estimate of the exact energy at $\lambda = 1$.
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However, choosing the functional form for the best fit remains a difficult and subtle challenge.
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This technique was first generalised by using complex scaling parameters and constructing an analytic
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continuation by solving the Laplace equations.\cite{Surjan_2018}
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It was then further improved by introducing Cauchy's integral formula\cite{Mihalka_2019}
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\begin{equation}
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\begin{equation}
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\label{eq:Cauchy}
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\label{eq:Cauchy}
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\frac{1}{2\pi i} \oint_{\gamma} \frac{E(\lambda)}{\lambda - a} = E(a),
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\frac{1}{2\pi \i} \oint_{\mathcal{C}} \frac{E(\lambda)}{\lambda - \lambda_1} = E(\lambda_1),
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\end{equation}
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\end{equation}
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which states that the value of the energy can be computed at $\lambda=a$ inside the complex contour $\gamma$ only by the knowledge of its values on the same contour.
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which states that the value of the energy can be computed at $\lambda_1$ inside the complex
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Their method consists in refining self-consistently the values of $E(\lambda)$ computed on a contour going through the physical point at $\lambda = 1$ and encloses points of the ``trusted'' region (where the MP series is convergent). The shape of this contour is arbitrary but no singularities are allowed inside the contour to ensure $E(\lambda)$ is analytic.
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contour $\mathcal{C}$ using only the values along the same contour.
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When the values of $E(\lambda)$ on the so-called contour are converged, Cauchy's integrals formula \eqref{eq:Cauchy} is invoked to compute the values at $E(\lambda=1)$ which corresponds to the final estimate of the FCI energy.
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Starting from a set of points in a ``trusted'' region where the MP series is convergent, their approach
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The authors illustrate this protocol on the dissociation curve of \ce{LiH} and the stretched water molecule showing encouraging results. \cite{Mihalka_2019}
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self-consistently refines estimates of the $E(\lambda)$ values on a contour around the physical point
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$\lambda = 1$.
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The shape of this contour is arbitrary, but there must be no branch points or other singularities inside
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the contour.
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Once the contour values of $E(\lambda)$ are converged, Cauchy's integral formula Eq.~\eqref{eq:Cauchy} can
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be invoked to compute the value at $E(\lambda=1)$ and obtain a final estimate of the exact energy.
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The authors illustrate this protocol for the dissociation curve of \ce{LiH} and the stretched water
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molecule to obtain encouragingly accurate results.\cite{Mihalka_2019}
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%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%
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\section{Conclusion}
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\section{Conclusion}
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