18 citations · 34 across the 6 of their papers we have counts for
6 papers
Ultrafast neuromorphic computing with nanophotonic optical parametric oscillators
Midya Parto, Gordon H. Y. Li, Ryoto Sekine +5
Over the past decade, artificial intelligence (AI) has led to disruptive advancements in fundamental sciences and everyday technologies. Among various machine learning algorithms,…
All-optical computing with beyond 100-GHz clock rates
Gordon H. Y. Li, Midya Parto, Jinhao Ge +9
A computer's clock rate ultimately determines the minimum time between sequential operations or instructions. Despite exponential advances in electronic computer performance owing…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Turing-Completeness and Undecidability in Coupled Nonlinear Optical Resonators
Gordon Li, Alireza Marandi
Networks of coupled nonlinear optical resonators have emerged as an important class of systems in ultrafast optical science, enabling richer and more complex nonlinear dynamics com…
Large-scale time-multiplexed nanophotonic parametric oscillators
Robert M. Gray, Ryoto Sekine, Luis Ledezma +5
Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant att…
Deep Learning with Photonic Neural Cellular Automata
Gordon H. Y. Li, Christian R. Leefmans, James Williams +3
Rapid advancements in deep learning over the past decade have fueled an insatiable demand for efficient and scalable hardware. Photonics offers a promising solution by leveraging t…