9,063 research outputs found
A Convolutional Encoder Model for Neural Machine Translation
The prevalent approach to neural machine translation relies on bi-directional
LSTMs to encode the source sentence. In this paper we present a faster and
simpler architecture based on a succession of convolutional layers. This allows
to encode the entire source sentence simultaneously compared to recurrent
networks for which computation is constrained by temporal dependencies. On
WMT'16 English-Romanian translation we achieve competitive accuracy to the
state-of-the-art and we outperform several recently published results on the
WMT'15 English-German task. Our models obtain almost the same accuracy as a
very deep LSTM setup on WMT'14 English-French translation. Our convolutional
encoder speeds up CPU decoding by more than two times at the same or higher
accuracy as a strong bi-directional LSTM baseline.Comment: 13 page
Non-collinear magnetoconductance of a quantum dot
We study theoretically the linear conductance of a quantum dot connected to
ferromagnetic leads. The dot level is split due to a non-collinear magnetic
field or intrinsic magnetization. The system is studied in the non-interacting
approximation, where an exact solution is given, and, furthermore, with Coulomb
correlations in the weak tunneling limit. For the non-interacting case, we find
an anti-resonance for a particular direction of the applied field,
non-collinear to the parallel magnetization directions of the leads. The
anti-resonance is destroyed by the correlations, giving rise to an interaction
induced enhancement of the conductance. The angular dependence of the
conductance is thus distinctly different for the interacting and
non-interacting cases when the magnetizations of the leads are parallel.
However, for anti-parallel lead magnetizations the interactions do not alter
the angle dependence significantly.Comment: 7 pages, 7 figure
Loading of bosons in optical lattices into the p band
We present a method for transferring bosonic atoms residing on the lowest
s-band of an optical lattice to the first excited p-bands. Our idea hinges on
resonant tunneling between adjacent sites of accelerated lattices. The
acceleration effectively shifts the quasi-bound energies on each site such that
the system can be cast into a Wannier-Stark ladder problem. By adjusting the
acceleration constant, a situation of resonant tunneling between the s- and
p-bands is achievable. Within a mean-field model, considering 87Rb atoms, we
demonstrate population transfer from the s- to the p-bands with around 95 %
efficiency. Nonlinear effects deriving from atom-atom interactions, as well as
coupling of the quasi bound Wannier-Stark states to the continuum, are
considered.Comment: 8 pages, 7 figure
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