181 citations · 560 across the 17 of their papers we have counts for
8 papers · 1 filter
Towards Terabit//s Multidimensional Silicon Photonic Engine
Hao Chen, Zengqi Chen, Wu Zhou +7
Increasing artificial intelligence (AI) workloads drive co-packaged optics (CPO), which integrates optical engines with electronic components. Optical interconnects can extend tran…
Large-scale artificial intelligence with 41 million nanophotonic neurons on a metasurface
Mingcheng Luo, Meirui Jiang, Bhavin J. Shastri +8
Conventional integrated circuits (ICs) struggle to meet the escalating demands of artificial intelligence (AI). This has sparked a renewed interest in an unconventional computing p…
Online training and pruning of multi-wavelength photonic neural networks
Jiawei Zhang, Weipeng Zhang, Tengji Xu +5
CMOS-compatible photonic integrated circuits (PICs) are emerging as a promising platform in artificial intelligence (AI) computing. Owing to the compact footprint of microring reso…
Fully integrated hybrid multimode-multiwavelength photonic processor with picosecond latency
Ahmed Khaled, A. Aadhi, Chaoran Huang +2
High-speed signal processing is essential for maximizing data throughput in emerging communication applications, like multiple-input multiple-output (MIMO) systems and radio-freque…
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Tengji Xu, Weipeng Zhang, Jiawei Zhang +8
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low…
Multi-Wavelength Photonic Neuromorphic Computing for Intra and Inter-Channel Distortion Compensations in WDM Optical Communication Systems
Benshan Wang, Thomas Ferreira de Lima, Bhavin J Shastri +2
DSP (digital signal processing) has been widely applied in optical communication systems to mitigate signal distortions and has become one of the key technologies that have sustain…
Nanophotonic cavity based synapse for scalable photonic neural networks
Aashu Jha, Chaoran Huang, Thomas Ferriera deLima +3
The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an o…
Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons
Aashu Jha, Chaoran Huang, Hsuan-Tung Peng +2
Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with…