2,264 research outputs found
Non-Markovian Quantum Jumps in Excitonic Energy Transfer
We utilize the novel non-Markovian quantum jump (NMQJ) approach to
stochastically simulate exciton dynamics derived from a time-convolutionless
master equation. For relevant parameters and time scales, the time-dependent,
oscillatory decoherence rates can have negative regions, a signature of
non-Markovian behavior and of the revival of coherences. This can lead to
non-Markovian population beatings for a dimer system at room temperature. We
show that strong exciton-phonon coupling to low frequency modes can
considerably modify transport properties. We observe increased exciton
transport, which can be seen as an extension of recent environment-assisted
quantum transport (ENAQT) concepts to the non-Markovian regime. Within the NMQJ
method, the Fenna-Matthew-Olson protein is investigated as a prototype for
larger photosynthetic complexes.Comment: 9 pages, 4 figures, submitted to Journal of Chemical Physic
Asteroseismology of red-clump stars with CoRoT and Kepler
The availability of asteroseismic constraints for a large number of red
giants with CoRoT and in the near future with Kepler, paves the way for
detailed studies of populations of galactic-disk red giants. We investigate
which information on the observed population can be recovered by the
distribution of the observed seismic constraints: the frequency of maximum
power of solar-like oscillations () and the large frequency
separation (). We use the distribution of and of
observed by CoRoT in nearly 800 red giants in the first long
observational run, as a tool to investigate the properties of galactic
red-giant stars through the comparison with simulated distributions based on
synthetic stellar populations.
We can clearly identify the bulk of the red giants observed by CoRoT as
red-clump stars, i.e. post-flash core-He-burning stars. The distribution of
and of give us access to the distribution of the
stellar radius and mass, and thus represent a most promising probe of the age
and star formation rate of the disk, and of the mass-loss rate during the
red-giant branch.
This approach will be of great utility also in the interpretation of
forthcoming surveys of variability of red giants with CoRoT and Kepler. In
particular, an asteroseismic mass estimate of clump stars in the old-open
clusters observed by Kepler, would represent a most valuable observational test
of the poorly known mass-loss rate on the giant branch, and of its dependence
on metallicity.Comment: 5 pages, 6 figures, proceeding for "Stellar Pulsation: Challenges for
Theory and Observation", Santa Fe 200
Light Curve Patterns and Seismology of a White Dwarf with Complex Pulsation
The ZZ Ceti star KUV 02464+3239 was observed over a whole season at the
mountain station of Konkoly Observatory. A rigorous frequency analysis revealed
6 certain periods between 619 and 1250 seconds, with no shorter period modes
present. We use the observed periods, published effective temperature and
surface gravity, along with the model grid code of Bischoff-Kim, Montgomery and
Winget (2008) to perform a seismological analysis. We find acceptable model
fits with masses between 0.60 and 0.70 M_Sun. The hydrogen layer mass of the
acceptable models are almost always between 10^-4 and 10^-6 M_*. In addition to
our seismological results, we also show our analysis of individual light curve
segments. Considering the non-sinusoidal shape of the light curve and the
Fourier spectra of segments showing large amplitude variations, the importance
of non-linear effects in the pulsation is clearly seen.Comment: 5 pages, 6 figures, in "Stellar Pulsation: Challenges for Theory and
Observation", Eds. J. Guzik and P. A. Bradley, AIP
qTorch: The Quantum Tensor Contraction Handler
Classical simulation of quantum computation is necessary for studying the
numerical behavior of quantum algorithms, as there does not yet exist a large
viable quantum computer on which to perform numerical tests. Tensor network
(TN) contraction is an algorithmic method that can efficiently simulate some
quantum circuits, often greatly reducing the computational cost over methods
that simulate the full Hilbert space. In this study we implement a tensor
network contraction program for simulating quantum circuits using multi-core
compute nodes. We show simulation results for the Max-Cut problem on 3- through
7-regular graphs using the quantum approximate optimization algorithm (QAOA),
successfully simulating up to 100 qubits. We test two different methods for
generating the ordering of tensor index contractions: one is based on the tree
decomposition of the line graph, while the other generates ordering using a
straight-forward stochastic scheme. Through studying instances of QAOA
circuits, we show the expected result that as the treewidth of the quantum
circuit's line graph decreases, TN contraction becomes significantly more
efficient than simulating the whole Hilbert space. The results in this work
suggest that tensor contraction methods are superior only when simulating
Max-Cut/QAOA with graphs of regularities approximately five and below. Insight
into this point of equal computational cost helps one determine which
simulation method will be more efficient for a given quantum circuit. The
stochastic contraction method outperforms the line graph based method only when
the time to calculate a reasonable tree decomposition is prohibitively
expensive. Finally, we release our software package, qTorch (Quantum TensOR
Contraction Handler), intended for general quantum circuit simulation.Comment: 21 pages, 8 figure
Quantum Process Estimation via Generic Two-Body Correlations
Performance of quantum process estimation is naturally limited to
fundamental, random, and systematic imperfections in preparations and
measurements. These imperfections may lead to considerable errors in the
process reconstruction due to the fact that standard data analysis techniques
presume ideal devices. Here, by utilizing generic auxiliary quantum or
classical correlations, we provide a framework for estimation of quantum
dynamics via a single measurement apparatus. By construction, this approach can
be applied to quantum tomography schemes with calibrated faulty state
generators and analyzers. Specifically, we present a generalization of "Direct
Characterization of Quantum Dynamics" [M. Mohseni and D. A. Lidar, Phys. Rev.
Lett. 97, 170501 (2006)] with an imperfect Bell-state analyzer. We demonstrate
that, for several physically relevant noisy preparations and measurements, only
classical correlations and small data processing overhead are sufficient to
accomplish the full system identification. Furthermore, we provide the optimal
input states for which the error amplification due to inversion on the
measurement data is minimal.Comment: 7 pages, 2 figure
Modeling a Transient Pressurization with Active Cooling Sizing Tool
As interest in the area of in-space zero boil-off cryogenic propellant storage develops, the need to visualize and quantify cryogen behavior during ventless tank self-pressurization and subsequent cool-down with active thermal control has become apparent. During the course of a mission, such as the launch ascent phase, there are periods that power to the active cooling system will be unavailable. In addition, because it is not feasible to install vacuum jackets on large propellant tanks, as is typically done for in-space cryogenic applications for science payloads, instances like the launch ascent heating phase are important to study. Numerous efforts have been made to characterize cryogenic tank pressurization during ventless cryogen storage without active cooling, but few tools exist to model this behavior in a user-friendly environment for general use, and none exist that quantify the marginal active cooling system size needed for power down periods to manage tank pressure response once active cooling is resumed. This paper describes the Transient pressurization with Active Cooling Tool (TACT), which is based on a ventless three-lump homogeneous thermodynamic self-pressurization model1 coupled with an active cooling system estimator. TACT has been designed to estimate the pressurization of a heated but unvented cryogenic tank, assuming an unavailable power period followed by a given cryocooler heat removal rate. By receiving input data on the tank material and geometry, propellant initial conditions, and passive and transient heating rates, a pressurization and recovery profile can be found, which establishes the time needed to return to a designated pressure. This provides the ability to understand the effect that launch ascent and unpowered mission segments have on the size of an active cooling system. A sample of the trends found show that an active cooling system sized for twice the steady state heating rate would results in a reasonable time for tank pressure recovery with ZBO of a liquid oxygen propellant tank
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