add spohn and finalize discussion

note: spohn has wrong y axis
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Valentin Boettcher 2022-09-12 13:51:30 +02:00
parent da1ecca955
commit 5e98fe4c7b
4 changed files with 76 additions and 26 deletions

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@ -1016,7 +1016,7 @@ to higher frequencies is advantageous, as we will find out in
% some part of the negative interaction energy. In this way, the removal
% of the bath would
\begin{wrapfigure}[16]{o}{0.4\textwidth}
\begin{wrapfigure}[16]{O}{0.4\textwidth}
\centering
\includegraphics{figs/one_bath_syst/initial_slip_resonance}
\caption{\label{fig:initial_slip_resonance} The interaction energies
@ -1091,7 +1091,7 @@ 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 \(τ=.5\).
memory case the situation is reversed after about \(τ=0.5\).
\cref{fig:resonance_analysis_steady}.
\begin{figure}[htp]
\centering
@ -1139,10 +1139,12 @@ 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 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.
is extremely close to the target value of negative two. The other two
bath memories perform worse. We observe that 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 which exhibits a greater magnitude and persistent
oscillations.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis_steady}
@ -1159,6 +1161,46 @@ 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.
As the steady state system energies\footnote{Before the interaction is
switched off.} are greater than the ground state energies in all
simulations of \cref{fig:markov_analysis_steady} is a token of strong
coupling. The ground state is not the steady state, as it would be
with GKSL dynamics~\cite{Binder2018}.
We have often alluded to the fact that oscillations in the system
energy, the back-flow of energy into the system, are a token of
departure from the Markovian regime. An explicit demonstration of this
fact is given in \cref{fig:steady_relent}.
Spohn's theorem~\cite{Breuer2002Jun} states that the negative time
derivative of the relative entropy of system state and steady state
must be positive if the dynamics are generated by GKSL dynamics.
In mathematical terms Spohn's theorem can be formulated as
\begin{equation}
\label{eq:spohn}
-\dv{\qrelent{ρ_{\sys}(t)}{ρ_{\sys}(∞)}}{t} \geq 0,
\end{equation}
where \(\qrelent{ρ}{σ}=\tr[ρ \log_{2} ρ - ρ \log_{2} σ]\) is the
quantum relative entropy. The left hand side of \cref{eq:spohn} is
called entropy production.
\begin{figure}[htp]
\centering
\includegraphics{figs/one_bath_syst/steady_relent}
\caption{\label{fig:steady_relent} The negative time derivative of
the relative entropy of system state and the approximate steady
state (before the interaction is switched off) of the simulations shown in
\cref{fig:markov_analysis_steady}. The short memory case does not
violate Spohn's inequality, but the other two cases do. Note
however, that the \(τ_{\bath}=1\) case has not yet reached a
steady state and should therefore be treated with care.}
\end{figure}
\Cref{fig:steady_relent} demonstrates that the two simulations with
longer bathe memories are inconsistent with Markovian dynamics, as
their entropy production exhibits strong negativity. The
\(τ_{\bath}=1\) must be taken with care, as the steady state hasn't
been reached yet.
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
@ -1245,7 +1287,7 @@ change.
\subsection{Varying the Coupling Strength}
\label{sec:one_bathcoup_strength}
\begin{wrapfigure}[17]{o}{0.3\textwidth}
\begin{wrapfigure}[17]{O}{0.3\textwidth}
\centering
\includegraphics{figs/one_bath_syst/final_states_flows}
\caption{\label{fig:delta_fs_flow} The absolute difference of the state energies and the
@ -1260,14 +1302,6 @@ demonstration of the feasibility of high-consistency simulations for a
range of coupling strengths. We will therefore keep the discussion of
the physical implications relatively short.
\begin{figure}[htp]
\centering
\includegraphics{figs/one_bath_syst/δ_energy_overview}
\caption{\label{fig:delta_energy_overview} Energy overview for the
model \cref{eq:one_qubit_model} for various coupling
strengths. The curves are converged out, and the error funnels are
not visible.}
\end{figure}
The chosen simulation parameters are the same as in
\cref{sec:one_bath_cutoff} and again consistent results have been
obtained as can be gathered from
@ -1276,6 +1310,14 @@ coupling strengths.
The interaction strength was chosen linearly spaced and the simulation
results are presented in \cref{fig:delta_energy_overview}.
\begin{figure}[htp]
\centering
\includegraphics{figs/one_bath_syst/δ_energy_overview}
\caption{\label{fig:delta_energy_overview} Energy overview for the
model \cref{eq:one_qubit_model} for various coupling
strengths. The curves are converged out, and the error funnels are
not visible.}
\end{figure}
As the shape of the BCF is not altered between the simulations, the
bath energy flows look very similar as do the interaction
energies. The main difference is the magnitude of the interaction
@ -1284,25 +1326,27 @@ interaction energy and an increased flow which leads to faster energy
loss in the system and faster energy gain of the bath. The stronger
the coupling, the more pronounced as the non-monotonicity in time of
the interaction energy, which is reflected in a non-monotonicity in
the bath energy expectation value, which reaches a maximum and falls
slightly for the strongest coupling simulations. If the interaction is
strong enough, ``backflow'' can occur despite finite bath correlation
times. In \cref{fig:markov_analysis_steady} the bath memory is long,
additionally to a strong coupling so that multiple oscillations can be
seen.
the bath energy expectation value. The bath energy reaches a maximum
and falls slightly for the strongest coupling simulations. If the
interaction is strong enough, ``backflow'' can occur despite finite
bath correlation times. In \cref{fig:markov_analysis_steady} the bath
memory is long, additionally to a strong coupling so that multiple
oscillations can be seen.
Despite these differences for finite times, the approximate steady
state\footnote{excluding the \(α(0)=0.4\) cases} interaction energies,
maximal flows, system energies and bath energies are almost linearly
dependent on the coupling strength \(α(0)\) as is demonstrated in the
log-log plot \cref{fig:delta_fs_flow}.
dependent on the coupling strength \(α(0)\) in this regime as is
demonstrated in the log-log plot \cref{fig:delta_fs_flow}.
We find that we can control the speed of the energy transfer between
bath and system with the coupling strength at the cost of greater
steady state interaction energy. Were we to turn off the interaction
very fast, we would have to expend this energy in the worst
case. Also, both the final system and bath energies are increasing
with the coupling strength, compensating for the interaction energy.
very fast, we would have to expend this energy in the worst case. On
the other hand, more adiabatic protocol as the one used in
\cref{fig:markov_analysis_steady} would likely be a remedy to this
drawback.
The cooling performance for a coupling that is being turned off at the
end would depend on the concrete protocol as we've seen in
\cref{sec:one_bath_cutoff} and a more detailed study is left to future
@ -1310,6 +1354,12 @@ work. The interplay between the interaction time-scale mediated by the
coupling strength, the bath memory time and the system dynamics allows
for intricate tuning.
Both the final system and bath energies are increasing with the
coupling strength, compensating for the interaction energy which is
the main mechanism that leads to residual system energy in the steady
state which is further and further away from the ground state, which
would be the steady state of weak coupling dynamics.
\fixme{iftime: re-run with same coupling strength, more cutoff freqs,
less samples, see, longer times for coupling strengths, more coup}