Efficient tomography with unknown detectors
arXiv:1705.11080 · doi:10.1088/2058-9565/aa78d9
Abstract
We compare the two main techniques used for estimating the state of a physical system from unknown measurements: standard detector tomography and data-pattern tomography. Adopting linear inversion as a fair benchmark, we show that the difference between these two protocols can be traced back to the nonexistence of the reverse-order law for pseudoinverses. We capitalize on this fact to identify regimes where the data-pattern approach outperforms the standard one and vice versa. We corroborate these conclusions with numerical simulations of relevant examples of quantum state tomography.
13 pages, 6 figures. Submitted for publication. Comments most welcome!
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