Iterative maximum-likelihood reconstruction in quantum homodyne tomography

Details Iterative maximum-likelihood reconstruction in quantum homodyne tomography Iterative maximum-likelihood reconstruction in quantum homodyne tomography

2003-11-14

arxiv.org/abs/quant-ph/0311097v2

Journal of Optics B: Quantum and Semiclassical Optics 6 (2004) S556--S559

Physics

Quantum Physics

Scientific paper

10.1088/1464-4266/6/6/014

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.

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