Iterative maximum-likelihood reconstruction in quantum homodyne tomography
Quantum Physics
2009-11-10 v2
Abstract
I propose an iterative expectation maximization algorithm for reconstructing a quantum optical ensemble from a set of balanced homodyne measurements performed on an optical state. The algorithm applies directly to the acquired data, bypassing the intermediate step of calculating marginal distributions. The advantages of the new method are made manifest by comparing it with the traditional inverse Radon transformation technique.
Cite
@article{arxiv.quant-ph/0311097,
title = {Iterative maximum-likelihood reconstruction in quantum homodyne tomography},
author = {A. I. Lvovsky},
journal= {arXiv preprint arXiv:quant-ph/0311097},
year = {2009}
}