@inproceedings{14e1266d7265454fb41a7bdb73e57daf,
title = "Wiener filtering for passive linear quantum systems",
abstract = "This paper considers a version of the Wiener filtering problem for equalization of passive linear quantum systems. We demonstrate that taking into consideration the quantum nature of the signals involved leads to features typically not encountered in classical equalization problems. Most significantly, finding a mean-square optimal quantum equalizing filter amounts to solving a nonconvex constrained optimization problem. We discuss two approaches to solving this problem, both involving a relaxation of the constraint. In both cases, unlike classical equalization, there is a threshold on the variance of the noise below which an improvement of the mean-square error cannot be guaranteed.",
author = "V. Ugrinovskii and James, \{M. R.\}",
note = "Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.23919/acc.2019.8814325",
language = "English",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5372--5377",
booktitle = "2019 American Control Conference, ACC 2019",
address = "United States",
}