update discussion to bath memory

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Valentin Boettcher 2022-09-12 11:39:55 +02:00
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@ -1074,66 +1074,91 @@ interaction. The system dynamics are catching up with the bath.
\end{figure}
To study the effect of the bath memory, we use Ohmic spectral
densities with varying \(ω_c\) that have been shifted and scaled by
numerical optimization so that their peaks coincide and the resulting
maximal absolute interaction energies identical. The rightmost panel
of \Cref{fig:markov_analysis} shows plots of the spectral densities
obtained. We can see, that not only the magnitude at resonance point
enters, as the peak heights are quite different. We will encounter
this behavior again in \cref{sec:extr_mem}.
densities with linearly spaced \(τ_{\bath}\equiv ω_c^{-1}\) that have
been shifted and scaled by numerical optimization so that their peaks
coincide and the resulting maximal absolute interaction energies
identical. The rightmost panel of \Cref{fig:markov_analysis} shows
plots of the spectral densities obtained. We can see, that not only
the magnitude at resonance point enters, as the peak heights are quite
different. We will encounter this behavior again in
\cref{sec:extr_mem}.
The results that can be obtained are very much dependent on the
timing. \Cref{fig:markov_analysis} has been arrived at by tweaking the
time point of decoupling so that an extremum in the \(ω_{c}=1\) curve
is captured. This leads to an advantageous transfer performance with a
lower system energy and a higher bath energy and similar cost in terms
of total energy change, although residual system energy is still
higher than in \cref{fig:resonance_analysis_steady}.
Because the minimum in the interaction energy of the \(ω_{c}=1\) case
comes last, the residual interaction energy and thus interaction
strength is strongest when the interaction is turned off. Therefore
the largest quantity of energy is being introduced into the system in
this case when the interaction is turned off. In all cases the amount
of energy introduced is so large, that the bath energy rises during
the decoupling process instead of falling as in
time point of decoupling so that an extremum in the system energy of
the long memory (\(τ_{B}=1\)) case is captured. This leads to an
advantageous transfer performance with a lower system energy and
similar cost in terms of total energy change, although residual system
energy is still higher than in \cref{fig:resonance_analysis_steady}.
Although initially the system energy falls fastest for the short
memory case the situation is reversed after about \(τ=.5\).
\cref{fig:resonance_analysis_steady}.
\begin{figure}[htp]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis}
\caption{\label{fig:markov_analysis} The same as
\cref{fig:resonance_analysis} but for shifted spectral densities
various cutoff frequencies.}
various bath memory times. The long-memory case performs best in
this case, exhibiting the lowest final system energy.}
\end{figure}
For slightly longer coupling times, we find in the exact opposite
picture as can be ascertained from \Cref{fig:markov_analysis_longer}.
Because the minimum in the interaction energy of the \(τ_{\bath}=1\)
case comes last, the residual interaction energy and thus interaction
strength is strongest when the interaction is turned off. Therefore
the largest quantity of energy is being introduced into the system in
this case when the interaction is disabled. In all cases the amount of
energy introduced is so large, that the bath energy slightly rises
during the decoupling process instead of falling as in
\cref{fig:resonance_analysis_steady}.
\begin{figure}[htp]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis_longer}
\caption{\label{fig:markov_analysis_longer} The same as
\cref{fig:markov_analysis} but with slightly different timing.}
\cref{fig:markov_analysis} but with slightly different timing. The
result is exactly the reverse of
\cref{fig:markov_analysis_longer}. Longer memories perform worse.}
\end{figure}
The increased bath memory time allows for ``back flow'' of energy and
so the performance of energy transfer is strongly dependent on the
For slightly longer coupling times but with the same coupling
strengths, we find in the exact opposite picture as can be ascertained
from \Cref{fig:markov_analysis_longer}. The increased bath memory
time allows for ``back flow'' of energy from the bath into the system
and so the performance of energy transfer is strongly dependent on the
precision of control. The oscillations of flow and thus bath energy
have already been noticed in \cref{sec:oneosccomp} and seem to be a
robust feature of stronger coupling and long bath
memories. \fixme{Append tables for model params.}
memories. \fixme{Append tables for model params.} The total energy
introduced is slightly less than for the short times as the
interaction energy is lower when the interaction is turned off. The
final bath show an inverse behavior falling as the final system
energies rise. This is due to the energy transfer behavior, consistent
with the broadly similar total energy change in all three cases. This
behavior can also be observed \cref{fig:markov_analysis}.
For even longer times we find a picture similar to
\cref{fig:markov_analysis_steady}. The \(ω_{C}=3\) case shows hardly
any backflow and performs slightly better in terms of final system
energy. For \(ω_{c}=2\) we observe some mild backflow but otherwise
the energy distribution for \(τ>3\) is broadly similar to the
high-cutoff case. The simulation with the longest bath memory stands out.
\cref{fig:markov_analysis_steady}. The short memory case shows hardly
any backflow and performs best in terms of final system energy which
is very close to zero. The medium memory case performs worse, but not
by a large margin. The simulation with the longest bath memory stands
out and having a very different final state as is exemplified by the
final system energy and the interaction energy curve.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis_steady}
\caption{\label{fig:markov_analysis_steady} The same as
\cref{fig:markov_analysis} but for long times.}
\cref{fig:markov_analysis} but for long times. The results are
broadly similar to \cref{fig:markov_analysis_longer} with the
\(τ_{\bath}=1\) case standing out.}
\end{figure}
In the two simulations with shorter memory we find that about half of
the interaction energy is compensated by the total energy change. The
rest is accounted for by a lowering of system and bath energy alike,
an effect that is strongest in the short memory case especially for
the system energy. A slower, more adiabatic coupling modulation could
likely further reduce the amount of energy introduced.
In summary we find that the energy dynamics of system, interaction and
bath depend strongly on the characteristics of the bath. In the
regime studied, optimizing for fast energy loss of the system favors