This research develops photonic integrated circuits that compute using light instead of electrons. By creating integrated all-optical transistors and photonic neural networks, the work advances ultra-fast optical computing systems capable of dramatically outperforming conventional electronic processors in speed, efficiency, and future artificial intelligence applications.

This research develops a theoretical framework for understanding electron–hole interactions in quantum dots, focusing on positive and negative trions. By analytically modeling their behavior under electric and magnetic fields, it bridges gaps between theory and experiment, supporting advances in quantum electronics, energy technologies, and targeted medical applications.