s-parametrized quasiprobability distribution functions on a linear amplifier

1997 ◽  
Vol 30 (22) ◽  
pp. 5109-5121 ◽  
Author(s):  
A-S F Obada ◽  
G M Abd Al-Kader
2006 ◽  
Vol 39 (31) ◽  
pp. 9881-9890 ◽  
Author(s):  
M Ruzzi ◽  
M A Marchiolli ◽  
E C da Silva ◽  
D Galetti

2001 ◽  
Vol 15 (01) ◽  
pp. 75-100 ◽  
Author(s):  
FAISAL A. A. EL-ORANY ◽  
M. SEBAWE ABDALLA ◽  
A-.S. F. OBADA ◽  
G. M. ABD AL-KADER

In this communication we investigate the action of a single-mode squeeze operator on the statistical behaviour of different binomial states. For the resulting states (squeezed generalized binomial states) normalized second-order correlation function, quasiprobability distribution functions and the distribution function P(x) associated with the quadrature x are studied both analytically and numerically. Furthermore, the quadrature phase distribution as well as the phase distribution in the framework of Pegg–Barnett formalism are discussed.


2017 ◽  
Vol 400 ◽  
pp. 69-73 ◽  
Author(s):  
N. Yazdanpanah ◽  
M.K. Tavassoly ◽  
R. Juárez-Amaro ◽  
H.M. Moya-Cessa

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 344 ◽  
Author(s):  
Jorge Anaya-Contreras ◽  
Arturo Zúñiga-Segundo ◽  
Héctor Moya-Cessa

We show, in a formal way, how a class of complex quasiprobability distribution functions may be introduced by using the fractional Fourier transform. This leads to the Fresnel transform of a characteristic function instead of the usual Fourier transform. We end the manuscript by showing a way in which the distribution we are introducing may be reconstructed by using atom-field interactions.


Author(s):  
A.-S. F. Obada ◽  
M. M. A. Ahmed ◽  
Hoda A. Ali ◽  
Somia Abd-Elnabi ◽  
S. Sanad

AbstractIn this paper, we consider a special type of maximally entangled states namely by entangled SU(1,1) semi coherent states by using SU(1,1) semi coherent states(SU(1,1) Semi CS). The entanglement characteristics of these entangled states are studied by evaluating the concurrence.We investigate some of their nonclassical properties,especially probability distribution function,second-order correlation function and quadrature squeezing . Further, the quasiprobability distribution functions (Q-functions) is discussed.


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