We present a new method for quantum process tomography. The method enables us to efficiently estimate, with fixed precision, any of the parameters characterizing a quantum channel. It is selective since one can choose to estimate the value of any specific set of matrix elements of the super-operator describing the channel. Also, we show how to efficiently estimate all the average survival probabilities associated with the channel (i.e., all the diagonal elements of its χ--matrix.
@article{arxiv.0801.0758,
title = {Selective Efficient Quantum Process Tomography},
author = {Ariel Bendersky and Fernando Pastawski and Juan Pablo Paz},
journal= {arXiv preprint arXiv:0801.0758},
year = {2008}
}