@inproceedings{37f61ca1d725448b9b27f3257c164093,
title = "Bayesian machine learning of frequency-bin CNOT",
abstract = "We analyze the first experimental two-photon frequency-bin gate: a coincidence-basis CNOT. A novel characterization approach based on Bayesian machine learning is developed to estimate the gate performance with measurements in the logical basis alone.",
author = "Lu, {Hsuan Hao} and Lukens, {Joseph M.} and Williams, {Brian P.} and Poolad Imany and Peters, {Nicholas A.} and Weiner, {Andrew M.} and Pavel Lougovski",
note = "Publisher Copyright: {\textcopyright} 2019 The Author(s) 2019 OSA.; 2019 Conference on Lasers and Electro-Optics, CLEO 2019 ; Conference date: 05-05-2019 Through 10-05-2019",
year = "2019",
month = may,
doi = "10.23919/CLEO.2019.8750220",
language = "English",
series = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
}