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- W1802879749 abstract "In this paper we address convergence issues of the Diluted RρR 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 RρR 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." @default.
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- W1802879749 date "2014-09-01" @default.
- W1802879749 modified "2023-10-02" @default.
- W1802879749 title "Global convergence of diluted iterations in maximum-likelihood quantum tomography" @default.
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- W1802879749 doi "https://doi.org/10.5555/2685155.2685160" @default.
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