Multiparameter quantum estimation theory in quantum Gaussian states

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

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 ◽  
...  

2015 ◽  
Vol 18 (5) ◽  
pp. 1313-1335 ◽  
Author(s):  
Xiaoqiang Yue ◽  
Shi Shu ◽  
Xiao wen Xu ◽  
Zhiyang Zhou

AbstractThe paper aims to develop an effective preconditioner and conduct the convergence analysis of the corresponding preconditioned GMRES for the solution of discrete problems originating from multi-group radiation diffusion equations. We firstly investigate the performances of the most widely used preconditioners (ILU(k) and AMG) and their combinations (Bco and Bco), and provide drawbacks on their feasibilities. Secondly, we reveal the underlying complementarity of ILU(k) and AMG by analyzing the features suitable for AMG using more detailed measurements on multiscale nature of matrices and the effect of ILU(k) on multiscale nature. Moreover, we present an adaptive combined preconditioner Bcoα involving an improved ILU(0) along with its convergence constraints. Numerical results demonstrate that Bcoα-GMRES holds the best robustness and efficiency. At last, we analyze the convergence of GMRES with combined preconditioning which not only provides a persuasive support for our proposed algorithms, but also updates the existing estimation theory on condition numbers of combined preconditioned systems.


2021 ◽  
Vol 103 (6) ◽  
Author(s):  
Danko Georgiev ◽  
Leon Bello ◽  
Avishy Carmi ◽  
Eliahu Cohen
Keyword(s):  

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