some more on a single bath

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Valentin Boettcher 2022-08-12 21:02:10 +02:00
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12 changed files with 278 additions and 68 deletions

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@ -18,6 +18,31 @@ headinclude=true,footinclude=false,BCOR=.5cm]{scrbook}
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\addbibresource{references.bib}
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@ -1289,3 +1289,33 @@
url = {http://portal.acm.org/citation.cfm?id=270146},
year = 1997
}
@article{Magazzu2018Apr,
author = {Magazz{\ifmmode\grave{u}\else\`{u}\fi}, L. and
Forn-D{\ifmmode\acute{\imath}\else\'{\i}\fi}az,
P. and Belyansky, R. and Orgiazzi, J.-L. and
Yurtalan, M. A. and Otto, M. R. and Lupascu, A. and
Wilson, C. M. and Grifoni, M.},
title = {{Probing the strongly driven spin-boson model in a
superconducting quantum circuit}},
journal = {Nat. Commun.},
volume = 9,
number = 1403,
pages = {1--8},
year = 2018,
month = apr,
issn = {2041-1723},
publisher = {Nature Publishing Group},
doi = {10.1038/s41467-018-03626-w}
}
@book{Breuer2002Jun,
author = {Breuer, Heinz-Peter and Petruccione, Francesco},
title = {{The Theory of Open Quantum Systems}},
year = {2002},
month = jun,
isbn = {978-0-19852063-4},
publisher = {Oxford University Press},
address = {Oxford, England, UK},
url = {https://global.oup.com/academic/product/the-theory-of-open-quantum-systems-9780198520634}
}

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@ -4,6 +4,11 @@
\section{One Oscillator, One Bath}
\label{sec:oneosc}
The solution presented here is not entirely new, as the model is well
known. For reference see~\cite{Breuer2002Jun}. The trick with the
exponential expansion of the bath correlation function has been
arrived at independently, but may also be well known.
\subsection{Model}
\label{sec:model}
The model is given by the quadratic hamiltonian

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@ -373,5 +373,13 @@ Some basic experimentation has shown, that the cutoff parameter has to
be tuned and is not universally valid which is in accord with the
findings of \cite{RichardDiss}.
\section{Shifted Spectral Densities}
\section{Some Mathematical Details}
\label{math_detail}
\subsection{Shifted Spectral Densities}
\label{sec:shift_sp}
\fixme{Write it up}
\subsection{Shifted Spectral Densities}
\label{sec:smoothstep}
\fixme{Write it up}

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@ -621,6 +621,13 @@ simulations are summarized in \cref{fig:omega_systematics_system}.
funnels are not visible.}
\end{figure}
Let us preface the following discussion with a note of caution. All
the discussed phenomena are specific to the minimal model
\cref{eq:one_qubit_model}, although sometimes similarities to
phenomena observed in \cref{sec:hopsvsanalyt} can be seen. Whether
there is some universality to the results obtained is an interesting
question for a more detailed future detailed study.\fixme{Remove this?}
The interactions energy expectation values, despite being in the same
order of magnitude, differ significantly. This illustrates the
limitation of the estimate in \cref{sec:pure_deph}. Better estimates
@ -662,22 +669,56 @@ located at \(ω_c\) the special observed energy transfer behaviour for
\(ω_c=1\) is likely due to a resonance effect as the system energy
level spacing is unity.
The dissipator of the master equation for this two level system only
depends on the value of the spectral density at the level
spacing~\cite[p. 66]{Rivas2012}\footnote{There \(L=σ_{+}\), but this
has no bearing on the connection to \(ω_{0}\).} (\(ω_{0}=1\) here),
so that it is reasonable to expect, that there may be variations
whenever its magnitude at this point changes. On the other hand, a
strong dependence of the flow on the shape of the bath correlation
function beyond lamb-shift like influences, as we will find below, is
a token of the departure from the Markovian and weak coupling
regime\fixme{Here, some master equation comparison would be nice.}.
\paragraph{Energy Transfer Characteristics}
For a systematic study of resonance, we first compare the flow for
shifted ohmic spectral densities\footnote{See \cref{sec:shift_sp} for
details.} with the same scaling and cutoff frequency \(ω_c=2\). We
turn off the interaction before the system has reached its steady
turn off the interaction smoothly\footnote{A smoothstep function of
order two with a transition period of two. See
\cref{sec:smoothstep}.} before the system has reached its steady
state and compare how much energy has been transferred in terms of the
final bath and system energies and the loss due to the modulated
coupling. The less energy the system has at the end of the process and
coupling.
\begin{wrapfigure}[12]{O}{0.3\textwidth}
\centering
\includegraphics{figs/one_bath_syst/L_mod}
\caption{\label{fig:L_mod} The smooth modulation of the coupling
operator \(L(τ)\).}
\end{wrapfigure}
The less energy the system has at the end of the process and
the more the bath has taken up, the better the performance of
transfer. If the interaction energies are on the same scale, the
decoupling costs should be roughly the same. Otherwise, the added
energy may go to the bath or to the system. To make space for the
shifted bath correlation functions, the system energy gap has been set
to four so that \(α(0)=8\) represents a quite reasonable coupling
strength.
decoupling costs should be roughly the same. Otherwise, they may heat
to an additional modulation of system and bath energies between the
different simulations.
\begin{figure}[h]
To make space for the shifted bath correlation functions, the system
energy gap has been set to four so that \(α(0)=8\) represents a quite
reasonable coupling strength.
The results for three shifts are presented in
\cref{fig:resonance_analysis}. For all shifts the spectral density has
a finite value at the system energy spacing, but in the \(ω_s=2\)
case, the resonance condition is fulfilled. Indeed, the energy
transfer out of the system is the best for the resonant case (see
\cref{fig:resonance_analysis}, middle panel). The change in total
energy due to the decoupling of the bath is moderately higher than in
the resonant case than in the \(ω_s=1\) case, but the final system
energy is the lowest. \fixme{The decoupling seems to affect mainly the bath
energy (see left panel). Should I say so?}
\begin{figure}[ht]
\centering
\includegraphics{figs/one_bath_syst/resonance_analysis}
\caption{\label{fig:resonance_analysis} Left
@ -686,21 +727,44 @@ strength.
difference in total energy, the distance of the system energy to
the ground state energy and the distance of the bath energy to the
initial system energy. Right panel: The spectral density for the
there shift values.}
three shift values.}
\end{figure}
The results for three shifts are presented in
\cref{fig:resonance_analysis}. For all shifts the spectral density has
a finite value at the system energy spacing, but in the \(ω_s=2\)
case, the resonance condition is fulfilled. Indeed, the energy
transfer out of the system is the best for the resonant case (see
\cref{fig:resonance_analysis}, middle panel). The change in total
energy due to the decoupling of the bath is moderately higher than in
the resonant case than in the \(ω_s=1\) case but the final system
energy is the lowest. The third simulation with \(ω_s=3\) does exhibit
the worst performance with the lowest final bath energy the highest
residual system energy and the highest change in total energy due to
high interaction energy. Turning of the interaction leads mostly to
the increased final system energy (see the middle panel).
The third simulation with \(ω_s=3\) exhibits the worst performance
with the lowest final bath energy the highest residual system energy
and the highest change in total energy due to high interaction
energy.\fixme{does this have anything to do with the lamb-shift?}
Were the interaction turned off abruptly, the system and bath energies
would remain untouched. Turning the interaction off in finite time
reduces the energy introduced into the system in the cases discussed
here. System and bath energy must therefore compensate part of the
negative interaction energy after the system is decoupled from the
bath. Hence, the generic lowering of system and bath energy after
decoupling.
% Turning of the interaction leads mostly to a reduction of the final
% bath energy (see the middle panel). This effect will also appear in
% most of the cases discussed below. When deriving a master equation for
% this two level system~\cite[p. 68]{Rivas2012}, there occurs a lamb
% shift term that acts as a correction to the unitary evolution of the
% system. Turning the interaction off adiabatically removes this leads
% to a change in what one may define as system energy in this case. In
% the case discussed here, the coupling is not weak so that this
% explanation may only serve as a means of analogy. Compensating for the
% negative interaction energy, the system and bath energy expectation
% value both fall when the coupling is turned off.\fixme{is this
% reasonable?}
% For an ohmic spectral density the lamb shift energy is
% \begin{equation}
% \label{eq:lshift_twolevel}
% 2Δ=\eu^{-1/ω_{c}}\,\mathrm{Ei}\qty(\frac{1}{ω_{c}}) - ω_{c},
% \end{equation}
% which is negative for all the cases discussed here and may account for
% some part of the negative interaction energy. In this way, the removal
% of the bath would
Generally the maximal absolute interaction energy is roughly
proportional to the shift\fixme{maybe due to the fact that only higher
@ -713,12 +777,36 @@ coupling to low frequency modes\fixme{this is speculation, should I
remove it?} or the greater asymmetry of the spectral density around
the resonance frequency.
However, due to the asymmetry of the spectral
density, the simulations for \(ω_s=1\) and \(ω_s=3\) are not directly
comparable. A repetition of this investigation with a
(pseudo~\cite{Mukherjee2020Jan}) Lorentzian spectral density and for
different interaction time-frames\footnote{steady state vs. transient
states} is left for future work.
Due to the asymmetry of the spectral density, the simulations for
\(ω_s=1\) and \(ω_s=3\) are not directly comparable. A repetition of
this investigation with a (pseudo~\cite{Mukherjee2020Jan}) Lorentzian
spectral density and for different interaction
time-frames\footnote{steady state vs. transient states} is left for
future work.
The longer term picture is being studied in
\cref{fig:resonance_analysis_steady}. We see broadly similar energy
transfer characteristics for \(ω_{s}=1\) and \(ω_{s}=2\), where the
off-resonant may be marginally advantageous. The left panel shows,
that although the system energy is lower in the resonant case, the
situation is reversed during the decoupling. However these effects are
quite marginal and should be taken with care. The system energy
difference amounts to
\(\Delta\langle H_\mathrm{S}\rangle=0.00397\pm 0.00010\), but only the
statistical error has been taken into account. The simulations were
run with \(N=10^{4}\) samples and the same HOPS settings as in the
discussion above, so that some confidence may be placed in them. For
\(ω_{s}=3\) the steady state has not been reached yet and the energy
transfer is incomplete. In comparison with
\cref{fig:resonance_analysis} the system energy is generally lower but
the disturbance of system and bath energy due to the decoupling is
greater but to the advantage of the final system energy.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/resonance_analysis_steady}
\caption{\label{fig:resonance_analysis_steady} The same as
\cref{fig:resonance_analysis} but for a longer coupling time.}
\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 so
@ -726,7 +814,7 @@ that their peaks coincide and the resulting interaction energies are
comparable.
The results that can be obtained are very much dependent on the
timing. \Cref{fig:markov_analysis} has been obtained by tweaking 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
@ -734,7 +822,9 @@ of total energy change.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis}
\caption{\label{fig:markov_analysis}}
\caption{\label{fig:markov_analysis} The same as
\cref{fig:resonance_analysis} but for shifted spectral densities
various cutoff frequencies.}
\end{figure}
For slightly longer coupling times, we find in
@ -742,53 +832,101 @@ the exact opposite picture as can be ascertained from \Cref{fig:markov_analysis_
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/markov_analysis_longer}
\caption{\label{fig:markov_analysis_longer}}
\caption{\label{fig:markov_analysis_longer} The same as
\cref{fig:markov_analysis} but with slightly different timing.}
\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
precision of control.
precision of control.\fixme{Should i be more exacting with regards
to mentioning sample counts etc?}
For even longer times we find in \cref{fig:markov_analysis_steady},
that the advantage of longer bath memory vanishes. But here the
situation is complicated by the fact, that the steady state for the
\(ω_{c}=1\) case has not been reached.\fixme{Revise this after running
the simulation.}
\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.}
\end{figure}
% It may be cautiously concluded, that in this case non Markovianity is
% conductive to energy transfer between the system and the bath. A
% similar observation was made in \cref{sec:oneosccomp}, but without
% discussing interaction energies and with another normalization of the
% BCF.
% If the explanation given in \cref{sec:oneosccomp} is correct and the
% non Markovian advantage in energy transfer is due to the system having
% more time to interact with a given portion of the bath, a turning
% point should be reached for very long bath memories\footnote{and
% correspondingly narrow spectral densities}, so that a given portion
% of the bath can't absorb more energy after a certain time. Note however,
% that this is a speculative idea. \fixme{Do now?, Remove speculation?}
In summary, we can conclude that with the right timing the resonance
of system with the bath spectrum may be exploited for better and
faster energy transfer. In the resonant case, the choice of coupling
strength and cutoff frequency may lead to advantages for short times.
For longer times these advantages mostly vanish, depending on the
specific configuration.\fixme{Run the simulation even longer so that
\(ω_{s}=3\) reaches the steady state?} In any case, the behaviour of
the system is non trivial and strongly dependent on the
characteristics of the coupling to the bath.
\paragraph{Initial Slip}
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/omega_initial_slip}
\caption{\label{fig:omega_initial_slip} Left panel: The bath energy
flow of the model \cref{eq:one_qubit_model} for various coupling
strengths (solid lines) and the pure dephasing flow of
\cref{sec:pure_deph} (dashed lines). The vertical lines mark the
position of the first minimum of the interaction energy. Right
panel: The difference of the actual flow \(J\) and the pure
dephasing flow \(J_\mathrm{p.d.}\). The solid vertical lines mark
the time \(τ_p\) where the normalized deviation from pure
dephasing is \(10^{-2}\) and the dashed vertical lines show the
position of the peak flow at time \(τ_p\).}
\cref{sec:pure_deph} (dashed lines). The dotted lines show the
flow calculated from one trajectory and the vertical lines mark
the position of the peak of the absolute value of the interaction
energy. Right panel: The difference of the actual flow \(J\) and
the pure dephasing flow \(J_\mathrm{p.d.}\). The solid vertical
lines mark the time \(τ_p\) where the normalized deviation from
pure dephasing is \(10^{-2}\) and the dashed vertical lines show
the position of the peak flow at time \(τ_p\).}
\end{figure}
\paragraph{Initial Slip}
For very short time scales, we see in \cref{fig:omega_initial_slip}
that the pure dephasing dynamics discussed in \cref{sec:pure_deph}
dominate but fail to predict the exact location of the peaks. The
Returning to the simulations in \cref{fig:omega_systematics_system},
we see in \cref{fig:omega_initial_slip} that the pure dephasing
dynamics discussed in \cref{sec:pure_deph} dominate for very short
time scales, but fail to predict the exact location of the peaks. The
deviation from the pure dephasing flow occurs before the peak, where
the time difference between the peak absolute flow and the deviation
increases with decreasing \(ω_c\) as does the magnitude of the maximal
deviation. With increasing non-Markovianity, the role of the system
Hamiltonian in modulating the flow becomes increasingly important.
increases with decreasing \(ω_c\), as does the magnitude of the
maximal relative deviation. This can be ascertained from the legend of
\cref{fig:omega_initial_slip} where the difference between deviation
and peak time normalized by peak time is given.
For longer bath memories along with weaker
couplings, the role of the system Hamiltonian dynamics in modulating
the flow becomes increasingly important.
\begin{figure}[h]
\centering
\includegraphics{figs/one_bath_syst/flow_buildup}
\caption{\label{fig:flow_buildup} The total norm of the first
auxiliary states and the flow for one trajectory and as a mean
over all trajectories for the \(ω_{c}=4\) simulation. For short
times the results for one trajectory match the ensemble means. The
divergence between one trajectory and the ensemble occurs at
roughly the same time for the flow and the auxiliary state
norm. Moreover, flow and mean auxiliary state have the same
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
@ -808,13 +946,6 @@ obtained as can be gathered from
The interaction strength was chosen linearly spaced and the simulation
results are presented in \cref{fig:delta_energy_overview}.
\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}
As the shape of the BCF is not altered the bath energy flows look very
similar as do the interaction energies. The main difference is the
magnitude of the interaction energy. With increased coupling strength
@ -824,7 +955,13 @@ 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. Despite these differences for finite times, the
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
@ -883,4 +1020,9 @@ the time to include them.
\item flows crossing in one point: robust featureu
\item linear regeime of steady state energies -> universal, how far
does it extend
\item more detailed parameter scans, universality between different models?
\item state changes -> is energy difference = heat + work path
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}
\end{itemize}