Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

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Large-Scale Optical Neural Networks based on Photoelectric Multiplication (2018, methodology): “Previous approaches used optoelectronics (photodiodes, lasers, amplifiers) both to sum neuron inputs [32, 24] and to generate nonlinearity or spiking dynamics [33, 34, 35, 36, 37]; here, thanks to the optical weight encoding, the synaptic weighting itself is performed opto-electronically.”
Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale (2018, neutral): “Meanwhile, hybrid opto-electronic systems for implementing spike processing [159,160], neuromorphic computing, and reservoir computing have also been demonstrated, and progress is”
Photonic matrix multiplication lights up photonic accelerator and beyond (2022, methodology): “12 WDM-MVMs for ONNs. a Optical broadcast-and-weight network showing parallels with the neural network mode 82,84 . b Optical convolutional neural network 92 . c All-optical spiking neurosynaptic networks 89 . d Photonic dot product engine for machine learning 129 . a Reprinted from ref.”
Continuous-variable quantum neural networks (2018, background): “[27] Alexander N Tait, Mitchell A Nahmias, Bhavin J Shas-”