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some more on the one bath mod
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@ -398,6 +398,13 @@ will be similar to the ones presented here.
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\section{Precision Simulations for a System without Analytical
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Solution}
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\label{sec:prec_sim}
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In this section, we will study the energy flow of a simple model
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connected to zero temperature bath. Both the characteristics of the
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flow mediated by the concrete form of the bath correlation function
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and the performance of the HOPS method itself will be investigated. We
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will find that the numerics do indeed yield very consistent results
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and that the specifics of the energy flow depend very much on the
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spectral density.
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An analytical solution to a given open system is generally not known,
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so that another indicator of the proper choice of HOPS parameters may
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@ -894,6 +901,16 @@ For longer bath memories along with weaker
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couplings, the role of the system Hamiltonian dynamics in modulating
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the flow becomes increasingly important.
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Remarkably, the flow for a single trajectory does match the converged
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flow even better than the pure dephasing flow. For large \(ω_{c}\) the
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single trajectory matches until after the peak, whereas the deviation
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occurs earlier for the \(ω_{c}=1\) case. For short times the flow is
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mainly influenced by the buildup of the auxiliary states rather than
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the fluctuations of the stochastic process, leading to a similar
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behavior for most trajectories. See \cref{fig:flow_buildup} an
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illustration of this phenomenon. This is useful, as this period of
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rapid dynamics must be resolved very precisely to accurately integrate
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the flow into the bath energy change.
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\begin{figure}[h]
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\centering
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\includegraphics{figs/one_bath_syst/flow_buildup}
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@ -907,33 +924,16 @@ the flow becomes increasingly important.
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functional form for very short times, apart from a scaling factor.}
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\end{figure}
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Remarkably, the flow for a single trajectory does match the converged
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flow even better than the pure dephasing flow. For large \(ω_{c}\) the
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single trajectory matches until after the peak, whereas the deviation
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occurs earlier for the \(ω_{c}=1\) case. For short times the flow is
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mainly influenced by the buildup of the auxiliary states rather than
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the fluctuations of the stochastic process, leading to a similar
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behavior for most trajectories. See \cref{fig:flow_buildup} an
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illustration of this phenomenon. This is useful, as this period of
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rapid dynamics must be resolved very precisely to accurately integrate
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the flow into the bath energy change.
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\subsection{Dependence on the Coupling Strength}
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\label{sec:one_bathcoup_strength}
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\begin{wrapfigure}[17]{o}{0.3\textwidth}
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\centering
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\includegraphics{figs/one_bath_syst/final_states_flows}
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\caption{\label{fig:delta_fs_flow} The absolute difference of the state energies and the
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maximal flows for the simulations in
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\cref{fig:delta_energy_overview} relative to their value at \(α(0)=1.12\).}
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\end{wrapfigure}
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After having studied the dependence of the bath energy flow for
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various cutoff frequencies of the BCF in \cref{sec:one_bath_cutoff},
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we now consider the case with fixed cutoff \(ω_c=2\) but varying
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coupling strength. The simulation parameters are the same as in
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\cref{sec:one_bath_cutoff} and again consistent results have been
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obtained as can be gathered from
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\cref{fig:delta_interaction_consistency}.
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\cref{fig:delta_interaction_consistency} throughout the whole range of
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coupling strengths.
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\begin{figure}[h]
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\centering
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\includegraphics{figs/one_bath_syst/δ_energy_overview}
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@ -943,6 +943,13 @@ obtained as can be gathered from
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not visible.}
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\end{figure}
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\begin{wrapfigure}[17]{o}{0.3\textwidth}
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\centering
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\includegraphics{figs/one_bath_syst/final_states_flows}
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\caption{\label{fig:delta_fs_flow} The absolute difference of the state energies and the
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maximal flows for the simulations in
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\cref{fig:delta_energy_overview} relative to their value at \(α(0)=1.12\).}
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\end{wrapfigure}
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The interaction strength was chosen linearly spaced and the simulation
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results are presented in \cref{fig:delta_energy_overview}.
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@ -961,22 +968,24 @@ occur despite finite bath correlation times. In
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additionally to a strong coupling so that multiple oscillations can be
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seen.
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Despite these differences for finite times, the
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approximate steady state\footnote{excluding the \(α(0)=0.4\) cases}
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interaction energies, maximal flows, system energies and bath energies
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are almost linearly dependent on the coupling strength \(α(0)\) as is
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demonstrated in the log-log plot \cref{fig:delta_fs_flow}.
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Despite these differences for finite times, the approximate steady
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state\footnote{excluding the \(α(0)=0.4\) cases} interaction energies,
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maximal flows, system energies and bath energies are almost linearly
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dependent on the coupling strength \(α(0)\) as is demonstrated in the
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log-log plot \cref{fig:delta_fs_flow}.
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We find that we can control the speed of the energy transfer between
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bath and system with the coupling strength at the cost of greater
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steady state interaction energy. Were we to turn off the interaction
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very fast, we would have to expend this energy in the worst
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case. Also, both the final system and bath energies are increasing
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with the coupling strength, compensating for the interaction
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energy. Abrupt decoupling would in this scenario correspond to
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``heating'' the system and the bath, but the bath to a greater
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extend. If we were to put a two level system into a large cavity where
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it can emit light to shed energy, it is better to do that slowly.
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with the coupling strength, compensating for the interaction energy.
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The cooling performance for a coupling that is being turned off at the
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end would depend on the concrete protocol as we've seen in
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\cref{sec:one_bath_cutoff} and a more detailed study is left to future
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work. The interplay between the interaction time-scale mediated by the
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coupling strength, the bath memory time and the system dynamics allows
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for intricate tuning.
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\fixme{iftime: re-run with same coupling strength, more cutoff freqs,
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@ -985,6 +994,43 @@ it can emit light to shed energy, it is better to do that slowly.
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\section{Modulation of System and Interaction for a Single Bath}
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\label{sec:singlemod}
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Because the HOPS allows us to simulate a full dynamical picture of our
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model, let us now turn to a situation where the dynamics are of
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interest.
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A classical dictum of thermodynamics is, that it is impossible to
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extract energy from a single bath in a cyclical manner. Indeed, we
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found in \cref{sec:ergoonebath} that this also holds for a finite
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quantum system coupled to a thermal bath. In \cref{sec:explicit ergo}
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we found, that the bound given on the ergotropy in such a situation
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can be saturated for infinite baths, such as the ones used with
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NMQSD/HOPS. However, it is unclear if such a unitary transformation
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can be implemented without explicit construction of a model.
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In this section we will focus on the minimal dimensionless model
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\begin{equation}
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\label{eq:one_qubit_model_driven}
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H = \frac{1}{2} ((σ_z+1)+λΔ \sin(Δτ) σ_{f}) + \frac{1}{2}
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{\sin[2](\frac{Δ}{2}τ)} ∑_λ\qty(g_λ σ_x^† a_λ + g_λ^\ast
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σ_x a_λ^†) + ∑_λ ω_λ a_λ^\dag a_λ,
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\end{equation}
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where \(λ,Δ\geq 0\) and \(f\in \{z, y\}\). The form of the system
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Hamiltonian has been chosen similar to \cite{Mukherjee2020Jan}, where
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Floquet theory was used, and it was shown that the relevant quantities
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are scaling with \(λ\). For \(λ=0\) the system Hamiltonian is positive
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semi-definite with the energies zero and one. The modulation of the
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interaction has been chosen heuristically to always act in the same
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``direction'' and vanish periodically.
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Before focusing on the \(λ = 0\) case, we will briefly visit a
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phenomenon coined ``Quantum Friction'', whereby the creation of
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coherences in the system energy basis hinders the performances of
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thermal quantum machines. These coherences raise the ergotropy of the
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system without necessarily raising its energy and can thus not
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contribute to the operation of a machine.
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\begin{itemize}
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\item quantum friction
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\item non-markovianity in the energy shovel
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\item otto cycle
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\item rotating engine
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\end{itemize}
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\section{Some Ideas for future Work}
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\section{Some Proposals for future Work}
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\begin{itemize}
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\item ... list all those nice papers ...
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\item the third law
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@ -1025,4 +1072,8 @@ the time to include them.
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independent (maybe try different protocols and turn off interaction
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at for beginning and end in an adiabatic way...)
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\item compare with results from master equation in \cref{sec:prec_sim}
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\item steady state methods, better convergence for long-time
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simulations
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\item coupling to single bath: although breach of second law forbidden
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-> cyclical energy transfer for very long bath correlation times
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\end{itemize}
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