@inproceedings{5fe035ae953943b7afda6be3aad10664,
title = "Efficient identification of unitary quantum processes",
abstract = "Identifying an unknown unitary quantum process is a fundamental task in the development of quantum technology. In this paper, we propose an efficient identification algorithm for estimating unitary processes. In the method, input pure states are used and a fast quantum state tomography algorithm is developed to reconstruct the output states. Then the information of the output states is used to estimate the unitary process. The identification algorithm has computational complexity O(d3) for a d-dimensional system. Numerical results show that the proposed identification algorithm is much more efficient than the maximum likelihood estimation method and works well for input mixed states with high purity. An analytical upper bound for the identification error is also provided, and numerical simulations and experimental results on quantum optical systems verify the theoretical results.",
keywords = "Quantum system identification, computational complexity, error analysis, unitary processes",
author = "Yuanlong Wang and Qi Yin and Daoyi Dong and Bo Qi and Petersen, {Ian R.} and Zhibo Hou and Hidehiro Yonezawa and Xiang, {Guo Yong}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 1st Australian and New Zealand Control Conference, ANZCC 2017 ; Conference date: 17-12-2017 Through 20-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ANZCC.2017.8298511",
language = "English",
series = "2017 Australian and New Zealand Control Conference, ANZCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "196--201",
booktitle = "2017 Australian and New Zealand Control Conference, ANZCC 2017",
address = "United States",
}