351 citations · 1.6k across the 26 of their papers we have counts for
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Transfer learning-aided, artificial intelligence approach to evaluate optical properties of materials for classical and quantum photonic applications
Mohammad Reza Habibi, Luca Sapienza, Juan C. Vasquez
In this study, an artificial intelligence-assisted evaluation of the refractive indices of different materials is performed. The evaluation of the refractive index is necessary to…
Thin-capping layer epitaxial quantum dots for near-field quantum photonics
Yuting Guo, Jonathan Bar-David, Pasquale Cilibrizzi +3
Epitaxial quantum dots (QDs) are widely recognised as one of the best quantum light sources, given their good stability, brightness, quantum efficiency and coherence. To reach such…
Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network
Solomon McKiernan, Luca Sapienza
We report on a gate-based variational quantum classifier implemented with single photons and probabilistic gates, to emulate the standard quantum circuit model framework. We evalua…