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Research Highlights

An imperfect quantum photonic neural network-based Bell-state analyzer with fabrication imperfections modelled after state-of-the-art silicon-on-insulator photonic elements (U, inset) and weak optical Kerr nonlinearities (Σ(π/4)). The network is trained to perform the input-output mapping of the Bell-state analyzer (see truth table) in the presence of all component-by-component errors, and thus learns to both overcome fabrication imperfections and get the most out of the available nonlinearities.

Imperfect Quantum Photonic Neural Networks

Jan 31, 2023

Jacob Ewaniuk, a MASC candidate has his work published in Advanced Quantum Technologies

The photonic chip used for teaching hardware

Teaching photonic chips to learn

Nov 22, 2022

Prof. Shastri and multi-institution team has developed an optical chip that can train machine learning hardware

The skymap of high-energy neutrinos around NGC 1068 vicinity

Evidence of Neutrino Emission from NGC1068

Nov 03, 2022

Prof. Park and colleagues, part of the IceCUBE Neutrino Observatory, find evidence of neutrino emission in their latest research