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update discussion to bath memory
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@ -1074,66 +1074,91 @@ interaction. The system dynamics are catching up with the bath.
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\end{figure}
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To study the effect of the bath memory, we use Ohmic spectral
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densities with varying \(ω_c\) that have been shifted and scaled by
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numerical optimization so that their peaks coincide and the resulting
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maximal absolute interaction energies identical. The rightmost panel
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of \Cref{fig:markov_analysis} shows plots of the spectral densities
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obtained. We can see, that not only the magnitude at resonance point
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enters, as the peak heights are quite different. We will encounter
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this behavior again in \cref{sec:extr_mem}.
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densities with linearly spaced \(τ_{\bath}\equiv ω_c^{-1}\) that have
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been shifted and scaled by numerical optimization so that their peaks
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coincide and the resulting maximal absolute interaction energies
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identical. The rightmost panel of \Cref{fig:markov_analysis} shows
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plots of the spectral densities obtained. We can see, that not only
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the magnitude at resonance point enters, as the peak heights are quite
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different. We will encounter this behavior again in
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\cref{sec:extr_mem}.
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The results that can be obtained are very much dependent on the
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timing. \Cref{fig:markov_analysis} has been arrived at by tweaking the
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time point of decoupling so that an extremum in the \(ω_{c}=1\) curve
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is captured. This leads to an advantageous transfer performance with a
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lower system energy and a higher bath energy and similar cost in terms
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of total energy change, although residual system energy is still
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higher than in \cref{fig:resonance_analysis_steady}.
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Because the minimum in the interaction energy of the \(ω_{c}=1\) case
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comes last, the residual interaction energy and thus interaction
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strength is strongest when the interaction is turned off. Therefore
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the largest quantity of energy is being introduced into the system in
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this case when the interaction is turned off. In all cases the amount
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of energy introduced is so large, that the bath energy rises during
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the decoupling process instead of falling as in
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time point of decoupling so that an extremum in the system energy of
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the long memory (\(τ_{B}=1\)) case is captured. This leads to an
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advantageous transfer performance with a lower system energy and
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similar cost in terms of total energy change, although residual system
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energy is still higher than in \cref{fig:resonance_analysis_steady}.
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Although initially the system energy falls fastest for the short
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memory case the situation is reversed after about \(τ=.5\).
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\cref{fig:resonance_analysis_steady}.
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\begin{figure}[htp]
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\centering
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\includegraphics{figs/one_bath_syst/markov_analysis}
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\caption{\label{fig:markov_analysis} The same as
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\cref{fig:resonance_analysis} but for shifted spectral densities
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various cutoff frequencies.}
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various bath memory times. The long-memory case performs best in
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this case, exhibiting the lowest final system energy.}
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\end{figure}
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For slightly longer coupling times, we find in the exact opposite
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picture as can be ascertained from \Cref{fig:markov_analysis_longer}.
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Because the minimum in the interaction energy of the \(τ_{\bath}=1\)
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case comes last, the residual interaction energy and thus interaction
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strength is strongest when the interaction is turned off. Therefore
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the largest quantity of energy is being introduced into the system in
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this case when the interaction is disabled. In all cases the amount of
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energy introduced is so large, that the bath energy slightly rises
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during the decoupling process instead of falling as in
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\cref{fig:resonance_analysis_steady}.
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\begin{figure}[htp]
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\centering
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\includegraphics{figs/one_bath_syst/markov_analysis_longer}
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\caption{\label{fig:markov_analysis_longer} The same as
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\cref{fig:markov_analysis} but with slightly different timing.}
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\cref{fig:markov_analysis} but with slightly different timing. The
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result is exactly the reverse of
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\cref{fig:markov_analysis_longer}. Longer memories perform worse.}
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\end{figure}
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The increased bath memory time allows for ``back flow'' of energy and
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so the performance of energy transfer is strongly dependent on the
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For slightly longer coupling times but with the same coupling
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strengths, we find in the exact opposite picture as can be ascertained
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from \Cref{fig:markov_analysis_longer}. The increased bath memory
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time allows for ``back flow'' of energy from the bath into the system
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and so the performance of energy transfer is strongly dependent on the
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precision of control. The oscillations of flow and thus bath energy
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have already been noticed in \cref{sec:oneosccomp} and seem to be a
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robust feature of stronger coupling and long bath
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memories. \fixme{Append tables for model params.}
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memories. \fixme{Append tables for model params.} The total energy
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introduced is slightly less than for the short times as the
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interaction energy is lower when the interaction is turned off. The
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final bath show an inverse behavior falling as the final system
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energies rise. This is due to the energy transfer behavior, consistent
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with the broadly similar total energy change in all three cases. This
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behavior can also be observed \cref{fig:markov_analysis}.
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For even longer times we find a picture similar to
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\cref{fig:markov_analysis_steady}. The \(ω_{C}=3\) case shows hardly
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any backflow and performs slightly better in terms of final system
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energy. For \(ω_{c}=2\) we observe some mild backflow but otherwise
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the energy distribution for \(τ>3\) is broadly similar to the
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high-cutoff case. The simulation with the longest bath memory stands out.
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\cref{fig:markov_analysis_steady}. The short memory case shows hardly
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any backflow and performs best in terms of final system energy which
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is very close to zero. The medium memory case performs worse, but not
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by a large margin. The simulation with the longest bath memory stands
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out and having a very different final state as is exemplified by the
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final system energy and the interaction energy curve.
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\begin{figure}[h]
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\centering
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\includegraphics{figs/one_bath_syst/markov_analysis_steady}
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\caption{\label{fig:markov_analysis_steady} The same as
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\cref{fig:markov_analysis} but for long times.}
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\cref{fig:markov_analysis} but for long times. The results are
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broadly similar to \cref{fig:markov_analysis_longer} with the
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\(τ_{\bath}=1\) case standing out.}
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\end{figure}
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In the two simulations with shorter memory we find that about half of
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the interaction energy is compensated by the total energy change. The
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rest is accounted for by a lowering of system and bath energy alike,
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an effect that is strongest in the short memory case especially for
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the system energy. A slower, more adiabatic coupling modulation could
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likely further reduce the amount of energy introduced.
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In summary we find that the energy dynamics of system, interaction and
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bath depend strongly on the characteristics of the bath. In the
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regime studied, optimizing for fast energy loss of the system favors
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