scholarly journals Infinite mode quantum Gaussian states

2019 ◽  
Vol 31 (09) ◽  
pp. 1950030
Author(s):  
B. V. Rajarama Bhat ◽  
Tiju Cherian John ◽  
R. Srinivasan

Quantum Gaussian states on Boson Fock spaces are quantum versions of Gaussian distributions. In this paper, we explore infinite mode quantum Gaussian states. We extend many of the results of Parthasarathy in [ 14 , 16 ] to the infinite mode case, which includes various characterizations, convexity and symmetry properties.

2018 ◽  
Vol 59 (7) ◽  
pp. 072204 ◽  
Author(s):  
Kaushik P. Seshadreesan ◽  
Ludovico Lami ◽  
Mark M. Wilde

2020 ◽  
Vol 53 (38) ◽  
pp. 385301
Author(s):  
Lahcen Bakmou ◽  
Mohammed Daoud ◽  
Rachid ahl laamara

2004 ◽  
Vol 02 (02) ◽  
pp. 273-283 ◽  
Author(s):  
LI-ZHEN JIANG

I study a family of bipartite quantum Gaussian states with three parameters, calculate Gaussian entanglement of formation analytically and the upper bound of relative entropy of entanglement, compare them with the coherent information of the states. Based on the numerical observation, I determine the relative entropy of entanglement and distillable entanglement of the states with infinitive squeezing.


2012 ◽  
Vol 53 (12) ◽  
pp. 122209 ◽  
Author(s):  
C. Lupo ◽  
S. Mancini ◽  
A. De Pasquale ◽  
P. Facchi ◽  
G. Florio ◽  
...  

Author(s):  
B. Carragher ◽  
M. Whittaker

Techniques for three-dimensional reconstruction of macromolecular complexes from electron micrographs have been successfully used for many years. These include methods which take advantage of the natural symmetry properties of the structure (for example helical or icosahedral) as well as those that use single axis or other tilting geometries to reconstruct from a set of projection images. These techniques have traditionally relied on a very experienced operator to manually perform the often numerous and time consuming steps required to obtain the final reconstruction. While the guidance and oversight of an experienced and critical operator will always be an essential component of these techniques, recent advances in computer technology, microprocessor controlled microscopes and the availability of high quality CCD cameras have provided the means to automate many of the individual steps.During the acquisition of data automation provides benefits not only in terms of convenience and time saving but also in circumstances where manual procedures limit the quality of the final reconstruction.


Physica ◽  
1952 ◽  
Vol 18 (2) ◽  
pp. 1017-1019 ◽  
Author(s):  
D PURSEY

1987 ◽  
Vol 48 (11) ◽  
pp. 2023-2026 ◽  
Author(s):  
T. Simonson ◽  
F. Ddnoyer ◽  
R. Currat

1993 ◽  
Vol 32 (02) ◽  
pp. 175-179 ◽  
Author(s):  
B. Brambati ◽  
T. Chard ◽  
J. G. Grudzinskas ◽  
M. C. M. Macintosh

Abstract:The analysis of the clinical efficiency of a biochemical parameter in the prediction of chromosome anomalies is described, using a database of 475 cases including 30 abnormalities. A comparison was made of two different approaches to the statistical analysis: the use of Gaussian frequency distributions and likelihood ratios, and logistic regression. Both methods computed that for a 5% false-positive rate approximately 60% of anomalies are detected on the basis of maternal age and serum PAPP-A. The logistic regression analysis is appropriate where the outcome variable (chromosome anomaly) is binary and the detection rates refer to the original data only. The likelihood ratio method is used to predict the outcome in the general population. The latter method depends on the data or some transformation of the data fitting a known frequency distribution (Gaussian in this case). The precision of the predicted detection rates is limited by the small sample of abnormals (30 cases). Varying the means and standard deviations (to the limits of their 95% confidence intervals) of the fitted log Gaussian distributions resulted in a detection rate varying between 42% and 79% for a 5% false-positive rate. Thus, although the likelihood ratio method is potentially the better method in determining the usefulness of a test in the general population, larger numbers of abnormal cases are required to stabilise the means and standard deviations of the fitted log Gaussian distributions.


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