Diluted maximum-likelihood algorithm for quantum tomography
Jaroslav Řeháček, Z. Hradil, Emanuel H. Knill, Alexander I. Lvovsky · Physical Review A · 2007
We propose a refined iterative likelihood-maximization algorithm for reconstructing a quantum state from a set of tomographic measurements. The algorithm is characterized by a very high convergence rate and features a simple adaptive procedure that ensures likelihood increase in every iteration and convergence to the maximum-likelihood state. We apply the algorithm to homodyne tomography of optical states and quantum tomography of entangled spin states of trapped ions and investigate its convergence properties.