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Conference on Lasers and Electro-Optics

Bayesian machine learning of frequency-bin CNOT

Hsuan‐Hao Lu, Joseph M. Lukens, Brian P. Williams, Poolad Imany, Nicholas A. Peters, Andrew M. Weiner, Pavel Lougovski

Published Jan 1, 2019• 0 citations
Publisher

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.
DOI
10.1364/cleo_qels.2019.ff1f.3

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