816 research outputs found
Bath-induced decay of Stark many-body localization
We investigate the relaxation dynamics of an interacting Stark-localized
system coupled to a dephasing bath, and compare its behavior to the
conventional disorder-induced many body localized system. Specifically, we
study the dynamics of population imbalance between even and odd sites, and the
growth of the von Neumann entropy. For a large potential gradient, the
imbalance is found to decay on a time scale that grows quadratically with the
Wannier-Stark tilt. For the non-interacting system, it shows an exponential
decay, which becomes a stretched exponential decay in the presence of finite
interactions. This is different from a system with disorder-induced
localization, where the imbalance exhibits a stretched exponential decay also
for vanishing interactions. As another clear qualitative difference, we do not
find a logarithmically slow growth of the von-Neumann entropy as it is found
for the disordered system. Our findings can immediately be tested
experimentally with ultracold atoms in optical lattices
Prethermal memory loss in interacting quantum systems coupled to thermal baths
We study the relaxation dynamics of an extended Fermi-Hubbard chain with a
strong Wannier-Stark potential tilt coupled to a bath. When the system is
subjected to dephasing noise, starting from a pure initial state the system's
total von Neumann entropy is found to grow monotonously. The scenario becomes
rather different when the system is coupled to a thermal bath of finite
temperature. Here, for sufficiently large field gradients and initial energies,
the entropy peaks in time and almost reaches its largest possible value
(corresponding to the maximally mixed state), long before the system relaxes to
thermal equilibrium. This entropy peak signals a prethermal memory loss and,
relative to the time where it occurs, the system is found to exhibit a simple
scaling behavior in space and time. By comparing the system's dynamics to that
of a simplified model, the underlying mechanism is found to be related to the
localization property of the Wannier-Stark system, which favors dissipative
coupling between eigenstates that are close in energy
Heat transport in an optical lattice via Markovian feedback control
Ultracold atoms offer a unique opportunity to study many-body physics in a
clean and well-controlled environment. However, the isolated nature of quantum
gases makes it difficult to study transport properties of the system, which are
among the key observables in condensed matter physics. In this work, we employ
Markovian feedback control to synthesize two effective thermal baths that
couple to the boundaries of a one-dimensional Bose-Hubbard chain. This allows
for the realization of a heat-current-carrying state. We investigate the
steady-state heat current, including its scaling with system size and its
response to disorder. In order to study large systems, we use semi-classical
Monte-Carlo simulation and kinetic theory. The numerical results from both
approaches show, as expected, that for non- and weakly interacting systems with
and without disorder one finds the same scaling of the heat current with
respect to the system size as it is found for systems coupled to thermal baths.
Finally, we propose and test a scheme for measuring the energy flow. Thus, we
provide a route for the quantum simulation of heat-current-carrying steady
states of matter in atomic quantum gases
CloudJet4BigData: Streamlining Big Data via an Accelerated Socket Interface
Big data needs to feed users with fresh processing results and cloud platforms can be used to speed up big data applications. This paper describes a new data communication protocol (CloudJet) for long distance and large volume big data accessing operations to alleviate the large latencies encountered in sharing big data resources in the clouds. It encapsulates a dynamic multi-stream/multi-path engine at the socket level, which conforms to Portable Operating System Interface (POSIX) and thereby can accelerate any POSIX-compatible applications across IP based networks. It was demonstrated that CloudJet accelerates typical big data applications such as very large database (VLDB), data mining, media streaming and office applications by up to tenfold in real-world tests
N′-(5-ethoxycarbonyl-3,4-dimethyl-pyrrol-2-yl-methylidene)-4-hydroxybenzohydrazide monohydrate, C17H21N3O5
Abstract
C17H21N3O5, monoclinic, P21/n (no. 14), a = 9.2278(16) Å, b = 15.093(3) Å, c = 12.698(2) Å, β = 105.195(12)°, V = 1706.7(5) Å3, Z = 4, R
gt(F) = 0.0553, wR
ref(F
2) = 0.1662, T = 296 K
N,N′-Bis(2,6-diisopropylphenyl)-3,6-dimethyl-1,2,4,5-tetrazine-1,4-dicarboxamide
In the title molecule, C30H42N6O2, the amide-substituted N atoms of the tetrazine ring deviate from the approximate plane of the four other atoms in the ring by 0.457 (3) and 0.463 (3) Å, forming a boat conformation. The two benzene rings form a dihedral angle of 47.69 (9)°. Intramolecular N—H⋯N and weak C—H⋯O hydrogen bonds are observed
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