Quantum tomography is a widely applicable tool for complete characterization of quantum states and processes. In the present work, we develop a method for precision-guaranteed quantum process tomography. With the use of the Choi-Jamiolkowski isomorphism, we generalize the recently suggested extended norm minimization estimator for the case of quantum processes. Our estimator is based on the Hilbert-Schmidt distance for quantum processes. Specifically, we discuss the application of our method for characterizing quantum gates of a superconducting quantum processor in the framework of the IBM Q Experience.
@article{arxiv.1911.00277,
title = {Estimating the precision for quantum process tomography},
author = {E. O. Kiktenko and D. N. Kublikova and A. K. Fedorov},
journal= {arXiv preprint arXiv:1911.00277},
year = {2020}
}