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|Type:||Artigo de periódico|
|Title:||Global Convergence Of Diluted Iterations In Maximum-likelihood Quantum Tomography|
|Abstract:||In this paper we address convergence issues of the Diluted RpR algorithm , 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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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