@inproceedings{7ab94101e66345ea8a868e142331326a,
title = "An approximate quantum Hamiltonian identification algorithm using a Taylor expansion of the matrix exponential function",
abstract = "An approximate quantum Hamiltonian identification algorithm is presented with the assumption that the system initial state and observation matrix can be set appropriately. We sample the system with a fixed period and using the sampled data we estimate the Hamiltonian based on a Taylor expansion of the matrix exponential function. We prove the estimation error is linear in the variance of the additive Gaussian noise. We also propose a heuristic formula to find the order of magnitude of the optimal sampling period. Two numerical examples are presented to validate the theoretical results.",
author = "Yuanlong Wang and Daoyi Dong and Petersen, {Ian R.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 56th IEEE Annual Conference on Decision and Control, CDC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1109/CDC.2017.8264478",
language = "English",
series = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5523--5528",
booktitle = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
address = "United States",
}