@inproceedings{628f8ab0dd564ed5a3a03c7eee1cb1d7,
title = "Adaptive Quantum Process Tomography via Linear Regression Estimation",
abstract = "This paper proposes a recursively adaptive tomography protocol to improve the precision of quantum process estimation for finite dimensional systems. The problem of quantum process tomography is firstly formulated as a parameter estimation problem which can then be solved by the linear regression estimation method. An adaptive algorithm is proposed for the selection of subsequent input states given the previous estimation results. Numerical results show that the proposed adaptive process tomography protocol can achieve an improved level of estimation performance.",
keywords = "Adaptive quantum process tomography, linear regression estimation, quantum control, quantum cybernetics",
author = "Qi Yu and Daoyi Dong and Yuanlong Wang and Petersen, {Ian R.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/SMC42975.2020.9283060",
language = "English",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4173--4178",
booktitle = "2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020",
address = "United States",
}