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arXiv · 2107.09961

Quantum Pattern Recognition in Photonic Circuits

Rui Wang·Carlos Hernani-Morales·José D. Martín-Guerrero·Enrique Solano·Francisco Albarrán-Arriagada
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Abstract

This paper proposes a machine learning method to characterize photonic states via a simple optical circuit and data processing of photon number distributions, such as photonic patterns. The input states consist of two coherent states used as references and a two-mode unknown state to be studied. We successfully trained supervised learning algorithms that can predict the degree of entanglement in the two-mode state as well as perform the full tomography of one photonic mode, obtaining satisfactory values in the considered regression metrics.

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Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada. 2021-12-07. Quantum Pattern Recognition in Photonic Circuits. https://doi.org/10.1088/2058-9565%2Fac3460

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