125,021 research outputs found
Optimal efficiency of quantum transport in a disordered trimer
Disordered quantum networks, as those describing light-harvesting complexes,
are often characterized by the presence of peripheral ring-like structures,
where the excitation is initialized, and inner reaction centers (RC), where the
excitation is trapped. The peripheral rings display coherent features: their
eigenstates can be separated in the two classes of superradiant and subradiant
states. Both are important to optimize transfer efficiency. In the absence of
disorder, superradiant states have an enhanced coupling strength to the RC,
while the subradiant ones are basically decoupled from it. Static on-site
disorder induces a coupling between subradiant and superradiant states,
creating an indirect coupling to the RC. The problem of finding the optimal
transfer conditions, as a function of both the RC energy and the disorder
strength, is very complex even in the simplest network, namely a three-level
system. In this paper we analyze such trimeric structure choosing as initial
condition a subradiant state, rather than the more common choice of an
excitation localized on a site. We show that, while the optimal disorder is of
the order of the superradiant coupling, the optimal detuning between the
initial state and the RC energy strongly depends on system parameters: when the
superradiant coupling is much larger than the energy gap between the
superradiant and the subradiant levels, optimal transfer occurs if the RC
energy is at resonance with the subradiant initial state, whereas we find an
optimal RC energy at resonance with a virtual dressed state when the
superradiant coupling is smaller than or comparable with the gap. The presence
of dynamical noise, which induces dephasing and decoherence, affects the
resonance structure of energy transfer producing an additional 'incoherent'
resonance peak, which corresponds to the RC energy being equal to the energy of
the superradiant state.Comment: This article shares part of the introduction and most of Section II
with arXiv:1508.01613, the remaining parts of the two articles treat
different problem
Inverse optimal transport
Discrete optimal transportation problems arise in various contexts in
engineering, the sciences and the social sciences. Often the underlying cost
criterion is unknown, or only partly known, and the observed optimal solutions
are corrupted by noise. In this paper we propose a systematic approach to infer
unknown costs from noisy observations of optimal transportation plans. The
algorithm requires only the ability to solve the forward optimal transport
problem, which is a linear program, and to generate random numbers. It has a
Bayesian interpretation, and may also be viewed as a form of stochastic
optimization.
We illustrate the developed methodologies using the example of international
migration flows. Reported migration flow data captures (noisily) the number of
individuals moving from one country to another in a given period of time. It
can be interpreted as a noisy observation of an optimal transportation map,
with costs related to the geographical position of countries. We use a
graph-based formulation of the problem, with countries at the nodes of graphs
and non-zero weighted adjacencies only on edges between countries which share a
border. We use the proposed algorithm to estimate the weights, which represent
cost of transition, and to quantify uncertainty in these weights
Fast shuttling of a trapped ion in the presence of noise
We theoretically investigate the motional excitation of a single ion caused
by spring-constant and position uctuations of a harmonic trap during trap
shuttling processes. A detailed study of the sensitivity on noise for several
transport protocols and noise spectra is provided. The effect of slow
spring-constant drifts is also analyzed. Trap trajectories that minimize the
excitation are designed combining invariant-based inverse engineering,
perturbation theory, and optimal control
Trapped-ion quantum simulation of excitation transport: disordered, noisy, and long-range connected quantum networks
The transport of excitations governs fundamental properties of matter.
Particularly rich physics emerges in the interplay between disorder and
environmental noise, even in small systems such as photosynthetic biomolecules.
Counterintuitively, noise can enhance coherent quantum transport, which has
been proposed as a mechanism behind the high transport efficiencies observed in
photosynthetic complexes. This effect has been called "environmental-assisted
quantum transport" (ENAQT). Here, we propose a quantum simulation of the
excitation transport in an open quantum network, taking advantage of the high
controllability of current trapped-ion experiments. Our scheme allows for the
controlled study of various different aspects of the excitation transfer,
ranging from the influence of static disorder and interaction range, over the
effect of Markovian and non-Markovian dephasing, to the impact of a continuous
insertion of excitations. Our proposal discusses experimental error sources and
realistic parameters, showing that it can be implemented in state-of-the-art
ion-chain experiments.Comment: 14 pages, 11 figure
Coherent quantum transport in disordered systems I: The influence of dephasing on the transport properties and absorption spectra on one-dimensional systems
Excitonic transport in static disordered one dimensional systems is studied
in the presence of thermal fluctuations that are described by the
Haken-Strobl-Reineker model. For short times, non-diffusive behavior is
observed that can be characterized as the free-particle dynamics in the
Anderson localized system. Over longer time scales, the environment-induced
dephasing is sufficient to overcome the Anderson localization caused by the
disorder and allow for transport to occur which is always seen to be diffusive.
In the limiting regimes of weak and strong dephasing quantum master equations
are developed, and their respective scaling relations imply the existence of a
maximum in the diffusion constant as a function of the dephasing rate that is
confirmed numerically. In the weak dephasing regime, it is demonstrated that
the diffusion constant is proportional to the square of the localization length
which leads to a significant enhancement of the transport rate over the
classical prediction. Finally, the influence of noise and disorder on the
absorption spectrum is presented and its relationship to the transport
properties is discussed.Comment: 23 pages, 7 figure
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