Accelerating Artificial Intelligence with Silicon Photonics. - Nicholas C. Harris; Ryan Braid; Darius Bunandar; Jim Carr; Brad Dobbie; Carlos Dorta-Quinones; Jon Elmhurst; Martin Forsythe; Michael Gould; Shashank Gupta; Sukeshwar Kannan; Tyler Kenney; et al. (OFC, 2020)

Experimental quantum speed-up in reinforcement learning agents. - Valeria Saggio; Beate E. Asenbeck; Arne Hamann 002; Teodor Strömberg; Peter Schiansky; Vedran Dunjko; Nicolai Friis; Nicholas C. Harris; Michael Hochberg; Dirk R. Englund; Sabine Wölk; Hans J. Briegel; et al. (Nat., 2021)

Nanophotonics for Quantum Information Processing and Artificial Intelligence. - Nicholas C. Harris (OECC/PSC, 2022)

Adaptive Block Floating-Point for Analog Deep Learning Hardware. - Ayon Basumallik; Darius Bunandar; Nicholas Dronen; Nicholas C. Harris; Ludmila Levkova; Calvin McCarter; Lakshmi Nair; David Walter; David P. Widemann (CoRR, 2022)

Single chip photonic deep neural network with accelerated training. - Saumil Bandyopadhyay; Alexander Sludds; Stefan Krastanov; Ryan Hamerly; Nicholas C. Harris; Darius Bunandar; Matthew Streshinsky; Michael Hochberg; Dirk R. Englund (CoRR, 2022)

An Electro-Photonic System for Accelerating Deep Neural Networks. - Cansu Demirkiran; Furkan Eris; Gongyu Wang; Jonathan Elmhurst; Nick Moore; Nicholas C. Harris; Ayon Basumallik; Vijay Janapa Reddi; Ajay Joshi; Darius Bunandar (ACM J. Emerg. Technol. Comput. Syst., 2023)

Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. - Reza Baghdadi; Carlos Dorta-Quinones; Alexander Sludds; Shashank Gupta; Pietro Ciccarella; Bryce Gardiner; Joyce K. S. Poon; Darius Bunandar; Nicholas C. Harris (OFC, 2025)

Universal photonic artificial intelligence acceleration. - Sufi R. Ahmed; Reza Baghdadi; Mikhail Bernadskiy; Nate Bowman; Ryan Braid; Jim Carr; Chen Chen; Pietro Ciccarella; Matthew Cole; John Cooke; Kishor Desai; Carlos Dorta; et al. (Nat., 2025)