Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Global Convergence Of Diluted Iterations In Maximum-likelihood Quantum Tomography
Author: Goncalves D.S.
Gomes-Ruggiero M.A.
Lavor C.
Abstract: In this paper we address convergence issues of the Diluted RpR algorithm [1], used to obtain the maximum likelihood estimate for the density matrix in quantum state tomography. We give a new interpretation to the diluted RpR iterations that allows us to prove the global convergence under weaker assumptions. Thus, we propose a new algorithm which is globally convergent and suitable for practical implementation. © Rinton Press.
Editor: Rinton Press Inc.
Rights: fechado
Identifier DOI: 
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.