some more on the one bath mod

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Valentin Boettcher 2022-08-22 14:02:18 +02:00
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@ -398,6 +398,13 @@ will be similar to the ones presented here.
\section{Precision Simulations for a System without Analytical
Solution}
\label{sec:prec_sim}
In this section, we will study the energy flow of a simple model
connected to zero temperature bath. Both the characteristics of the
flow mediated by the concrete form of the bath correlation function
and the performance of the HOPS method itself will be investigated. We
will find that the numerics do indeed yield very consistent results
and that the specifics of the energy flow depend very much on the
spectral density.
An analytical solution to a given open system is generally not known,
so that another indicator of the proper choice of HOPS parameters may
@ -894,6 +901,16 @@ For longer bath memories along with weaker
couplings, the role of the system Hamiltonian dynamics in modulating
the flow becomes increasingly important.
Remarkably, the flow for a single trajectory does match the converged
flow even better than the pure dephasing flow. For large \(ω_{c}\) the
single trajectory matches until after the peak, whereas the deviation
occurs earlier for the \(ω_{c}=1\) case. For short times the flow is
mainly influenced by the buildup of the auxiliary states rather than
the fluctuations of the stochastic process, leading to a similar
behavior for most trajectories. See \cref{fig:flow_buildup} an
illustration of this phenomenon. This is useful, as this period of
rapid dynamics must be resolved very precisely to accurately integrate
the flow into the bath energy change.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/flow_buildup}
@ -907,33 +924,16 @@ the flow becomes increasingly important.
functional form for very short times, apart from a scaling factor.}
\end{figure}
Remarkably, the flow for a single trajectory does match the converged
flow even better than the pure dephasing flow. For large \(ω_{c}\) the
single trajectory matches until after the peak, whereas the deviation
occurs earlier for the \(ω_{c}=1\) case. For short times the flow is
mainly influenced by the buildup of the auxiliary states rather than
the fluctuations of the stochastic process, leading to a similar
behavior for most trajectories. See \cref{fig:flow_buildup} an
illustration of this phenomenon. This is useful, as this period of
rapid dynamics must be resolved very precisely to accurately integrate
the flow into the bath energy change.
\subsection{Dependence on the Coupling Strength}
\label{sec:one_bathcoup_strength}
\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
maximal flows for the simulations in
\cref{fig:delta_energy_overview} relative to their value at \(α(0)=1.12\).}
\end{wrapfigure}
After having studied the dependence of the bath energy flow for
various cutoff frequencies of the BCF in \cref{sec:one_bath_cutoff},
we now consider the case with fixed cutoff \(ω_c=2\) but varying
coupling strength. The simulation parameters are the same as in
\cref{sec:one_bath_cutoff} and again consistent results have been
obtained as can be gathered from
\cref{fig:delta_interaction_consistency}.
\cref{fig:delta_interaction_consistency} throughout the whole range of
coupling strengths.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/δ_energy_overview}
@ -943,6 +943,13 @@ obtained as can be gathered from
not visible.}
\end{figure}
\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
maximal flows for the simulations in
\cref{fig:delta_energy_overview} relative to their value at \(α(0)=1.12\).}
\end{wrapfigure}
The interaction strength was chosen linearly spaced and the simulation
results are presented in \cref{fig:delta_energy_overview}.
@ -961,22 +968,24 @@ occur despite finite bath correlation times. In
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}.
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}.
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. Abrupt decoupling would in this scenario correspond to
``heating'' the system and the bath, but the bath to a greater
extend. If we were to put a two level system into a large cavity where
it can emit light to shed energy, it is better to do that slowly.
with the coupling strength, compensating for the interaction energy.
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
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.
\fixme{iftime: re-run with same coupling strength, more cutoff freqs,
@ -985,6 +994,43 @@ it can emit light to shed energy, it is better to do that slowly.
\section{Modulation of System and Interaction for a Single Bath}
\label{sec:singlemod}
Because the HOPS allows us to simulate a full dynamical picture of our
model, let us now turn to a situation where the dynamics are of
interest.
A classical dictum of thermodynamics is, that it is impossible to
extract energy from a single bath in a cyclical manner. Indeed, we
found in \cref{sec:ergoonebath} that this also holds for a finite
quantum system coupled to a thermal bath. In \cref{sec:explicit ergo}
we found, that the bound given on the ergotropy in such a situation
can be saturated for infinite baths, such as the ones used with
NMQSD/HOPS. However, it is unclear if such a unitary transformation
can be implemented without explicit construction of a model.
In this section we will focus on the minimal dimensionless model
\begin{equation}
\label{eq:one_qubit_model_driven}
H = \frac{1}{2} ((σ_z+1)+λΔ \sin(Δτ) σ_{f}) + \frac{1}{2}
{\sin[2](\frac{Δ}{2}τ)}_λ\qty(g_λ σ_x^† a_λ + g_λ^\ast
σ_x a_λ^†) + ∑_λ ω_λ a_λ^\dag a_λ,
\end{equation}
where \(λ,Δ\geq 0\) and \(f\in \{z, y\}\). The form of the system
Hamiltonian has been chosen similar to \cite{Mukherjee2020Jan}, where
Floquet theory was used, and it was shown that the relevant quantities
are scaling with \(λ\). For \(λ=0\) the system Hamiltonian is positive
semi-definite with the energies zero and one. The modulation of the
interaction has been chosen heuristically to always act in the same
``direction'' and vanish periodically.
Before focusing on the \(λ = 0\) case, we will briefly visit a
phenomenon coined ``Quantum Friction'', whereby the creation of
coherences in the system energy basis hinders the performances of
thermal quantum machines. These coherences raise the ergotropy of the
system without necessarily raising its energy and can thus not
contribute to the operation of a machine.
\begin{itemize}
\item quantum friction
\item non-markovianity in the energy shovel
@ -1008,7 +1054,8 @@ the time to include them.
\item otto cycle
\item rotating engine
\end{itemize}
\section{Some Ideas for future Work}
\section{Some Proposals for future Work}
\begin{itemize}
\item ... list all those nice papers ...
\item the third law
@ -1025,4 +1072,8 @@ the time to include them.
independent (maybe try different protocols and turn off interaction
at for beginning and end in an adiabatic way...)
\item compare with results from master equation in \cref{sec:prec_sim}
\item steady state methods, better convergence for long-time
simulations
\item coupling to single bath: although breach of second law forbidden
-> cyclical energy transfer for very long bath correlation times
\end{itemize}