@inproceedings{e744813beee24e66a3652d53b658836b,
title = "Randomized method for estimating the von neumann entropy of large-scale density matrices",
abstract = "In this article the randomized algorithm for estimating the von Neumann entropy of large-scale density matrices is considered. By capturing the dominant eigenspace via a k-rank approximation of the density matrix we estimate the entropy. We analyze the error bound with the eigenvalues of density matrix. Numerical experiments show that the proposed method is extensively efficient for large-scale density matrices.",
author = "Hayoung Choi and Xuming Song and Yuanming Shi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 ; Conference date: 26-11-2018 Through 29-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/GlobalSIP.2018.8646633",
language = "English",
series = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "296--300",
booktitle = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings",
address = "United States",
}