41,376 research outputs found
Spin squeezing: transforming one-axis-twisting into two-axis-twisting
Squeezed spin states possess unique quantum correlation or entanglement that
are of significant promises for advancing quantum information processing and
quantum metrology. In recent back to back publications [C. Gross \textit{et al,
Nature} \textbf{464}, 1165 (2010) and Max F. Riedel \textit{et al, Nature}
\textbf{464}, 1170 (2010)], reduced spin fluctuations are observed leading to
spin squeezing at -8.2dB and -2.5dB respectively in two-component atomic
condensates exhibiting one-axis-twisting interactions (OAT). The noise
reduction limit for the OAT interaction scales as , which
for a condensate with atoms, is about 100 times below standard
quantum limit. We present a scheme using repeated Rabi pulses capable of
transforming the OAT spin squeezing into the two-axis-twisting type, leading to
Heisenberg limited noise reduction , or an extra 10-fold
improvement for .Comment: 4 pages, 3 figure
Learning Latent Tree Graphical Models
We study the problem of learning a latent tree graphical model where samples
are available only from a subset of variables. We propose two consistent and
computationally efficient algorithms for learning minimal latent trees, that
is, trees without any redundant hidden nodes. Unlike many existing methods, the
observed nodes (or variables) are not constrained to be leaf nodes. Our first
algorithm, recursive grouping, builds the latent tree recursively by
identifying sibling groups using so-called information distances. One of the
main contributions of this work is our second algorithm, which we refer to as
CLGrouping. CLGrouping starts with a pre-processing procedure in which a tree
over the observed variables is constructed. This global step groups the
observed nodes that are likely to be close to each other in the true latent
tree, thereby guiding subsequent recursive grouping (or equivalent procedures)
on much smaller subsets of variables. This results in more accurate and
efficient learning of latent trees. We also present regularized versions of our
algorithms that learn latent tree approximations of arbitrary distributions. We
compare the proposed algorithms to other methods by performing extensive
numerical experiments on various latent tree graphical models such as hidden
Markov models and star graphs. In addition, we demonstrate the applicability of
our methods on real-world datasets by modeling the dependency structure of
monthly stock returns in the S&P index and of the words in the 20 newsgroups
dataset
Summer and winter living coccolithophores in the Yellow Sea and the East China Sea
This paper describes the distribution of living coccolithophores (LCs) in the
Yellow Sea and the East China Sea in summer and winter, and its relationship
with environmental factors by canonical correspondence analysis (CCA). We
carried out a series of investigations on LCs distribution in the Yellow Sea
and the East China Sea in July and December 2011. 210 samples from different
depths were collected from 44 stations in summer and 217 samples were
collected from 45 stations in winter. Totally 20 taxa belonging to
coccolithophyceae were identified using a polarized microscope at the
1000 × magnification. The dominant species of the two seasons were
Gephyrocapsa oceanica, Emiliania huxleyi, Helicosphaera carteri, and
Algirosphaera robusta. In summer the abundance of coccolithophore cells and
coccoliths ranged 0–176.40 cells mL<sup>−1</sup>, and
0–2144.98 coccoliths mL<sup>−1</sup>, with the average values of
8.45 cells mL<sup>−1</sup>, and 265.42 coccoliths mL<sup>−1</sup>, respectively. And
in winter the abundance of cells and coccoliths ranged
0–71.66 cells mL<sup>−1</sup>, and 0–4698.99 coccoliths mL<sup>−1</sup>, with the
average values of 13.91 cells mL<sup>−1</sup> and 872.56 coccoliths mL<sup>−1</sup>,
respectively. In summer, the LCs in surface layer were mainly observed on the
coastal belt and southern part of the survey area. In winter, the LCs in
surface layer had high value in the continental shelf area of section P. The
comparison among section A, section F, section P and section E indicated
lower species diversity and less abundance in the Yellow Sea than those in
the East China Sea in both seasons. Temperature and the nitrate concentration
may be the major environmental factors controlling the distribution and
species composition of LCs in the studying area based on CCA.
<br></br>
Abbreviations: LCs: Living Coccolithophores; CCA: canonical correspondence
analysis; DCM: Deep Chlorophyll Maximu
Technicolor Models with Color-Singlet Technifermions and their Ultraviolet Extensions
We study technicolor models in which all of the technifermions are
color-singlets, focusing on the case in these fermions transform according to
the fundamental representation of the technicolor gauge group. Our analysis
includes a derivation of restrictions on the weak hypercharge assignments for
the technifermions and additional color-singlet, technisinglet fermions arising
from the necessity of avoiding stable bound states with exotic electric
charges. Precision electroweak constraints on these models are also discussed.
We determine some general properties of extended technicolor theories
containing these technicolor sectors.Comment: 17 pages, latex, 2 figure
Out of plane effect on the superconductivity of Sr2-xBaxCuO3+y with Tc up to 98K
A series of new Sr2-xBaxCuO3+y (0 x 0.6) superconductors were prepared using
high-pressure and high-temperature synthesis. A Rietveld refinement based on
powder x-ray diffraction confirms that the superconductors crystallize in the
K2NiF4-type structure of a space group I4/mmm similar to that of La2CuO4 but
with partially occupied apical oxygen sites. It is found that the
superconducting transition temperature Tc of this Ba substituted Sr2CuO3+y
superconductor with constant carrier doping level, i.e., constant d, is
controlled not only by order/disorder of apical-O atoms but also by Ba content.
Tcmax =98 K is achieved in the material with x=0.6 that reaches the record
value of Tc among the single-layer copper oxide superconductors, and is higher
than Tc=95K of Sr2CuO3+y with optimally ordered apical-O atoms. There is
Sr-site disorder in Sr2-xBaxCuO3+y which might lead to a reduction of Tc. The
result indicates that another effect surpasses the disorder effect that is
related either to the increased in-plane Cu-O bond length or to elongated
apical-O distance due to Ba substitution with larger cation size. The present
experiment demonstrates that the optimization of local geometry out of the Cu-O
plane can dramatically enhance Tc in the cuprate superconductors.Comment: 23 Pages, 1 Table, 5 Figure
Improvement of LHC dynamic aperture via octupole spool pieces for the nominal tunes
The dynamic aperture of the LHC optics version 5 at injection energy has been calculated for an opti-mistic error table, the so called target error table, in which erect and/or skew octupolar components were increased up to values close to realistic estimates. Correction strategies, using octupole spool pieces or the lattice octupoles, have been tested so as to recover, as much as possible, the loss in dynamic aperture
Parton Distributions at Hadronization from Bulk Dense Matter Produced at RHIC
We present an analysis of , , and spectra from
Au+Au collisions at GeV in terms of distributions of
effective constituent quarks at hadronization. Consistency in quark ratios
derived from various hadron spectra provides clear evidence for hadron
formation dynamics as suggested by quark coalescence or recombination models.
We argue that the constituent quark distribution reflects properties of the
effective partonic degrees of freedom at hadronization. Experimental data
indicate that strange quarks have a transverse momentum distribution flatter
than that of up/down quarks consistent with hydrodynamic expansion in partonic
phase prior to hadronization. After the AMPT model is tuned to reproduce the
strange and up/down quark distributions, the model can describe the measured
spectra of hyperons and mesons very well where hadrons are formed
through dynamical coalescence.Comment: 5 pages, 3 figures, two more paragraph added to address the referee's
comment, figure updated to include the KET scale. Accepted version to appear
in Phys. Rev.
Primary thermometry triad at 6 mK in mesoscopic circuits
Quantum physics emerge and develop as temperature is reduced. Although
mesoscopic electrical circuits constitute an outstanding platform to explore
quantum behavior, the challenge in cooling the electrons impedes their
potential. The strong coupling of such micrometer-scale devices with the
measurement lines, combined with the weak coupling to the substrate, makes them
extremely difficult to thermalize below 10 mK and imposes in-situ thermometers.
Here we demonstrate electronic quantum transport at 6 mK in micrometer-scale
mesoscopic circuits. The thermometry methods are established by the comparison
of three in-situ primary thermometers, each involving a different underlying
physics. The employed combination of quantum shot noise, quantum back-action of
a resistive circuit and conductance oscillations of a single-electron
transistor covers a remarkably broad spectrum of mesoscopic phenomena. The
experiment, performed in vacuum using a standard cryogen-free dilution
refrigerator, paves the way toward the sub-millikelvin range with additional
thermalization and refrigeration techniques.Comment: Article and Supplementar
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