Advances in machine learning optimization for classical and quantum photonics

M Sanchez, C Everly, PA Postigo - JOSA B, 2024 - opg.optica.org
The development and optimization of photonic devices and various other nanostructure
electromagnetic devices present a computationally intensive task. Much optimization relies …

[HTML][HTML] Photon-pair generation using inverse-designed thin-film lithium niobate mode converters

K Kwon, H Heo, D Lee, H Kim, HS Jang, W Shin… - APL Photonics, 2024 - pubs.aip.org
Spontaneous parametric down-conversion (SPDC) has become a key method for
generating entangled photon pairs. Periodically poled thin-film lithium niobate (TFLN) …

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks

MG de Queiroz, P Jimenez, R Cardoso… - arXiv preprint arXiv …, 2024 - arxiv.org
Photonic Neural Networks (PNNs) are gaining significant interest in the research community
due to their potential for high parallelization, low latency, and energy efficiency. PNNs …

Introduction to the special feature: amplify Black voices in optics and photonics

KC Toussaint, AK Bowden, A Ndao, M N'Gom… - Optics …, 2024 - opg.optica.org
Introduction to the special feature: amplify Black voices in optics and photonics clickable
element to expand a topic LOGIN OR CREATE ACCOUNT PRISM SUBMISSION This website …

Advances in Machine Learning Inverse Design for Photonics and Quantum

M Sanchez, C Everly, P Postigo - 2024 - opg.optica.org
Development and optimization of photonic devices and various other nanostructure
electromagnetic devices presents a computationally intensive task. Much optimization relies …