Researchphotonic computingneuromorphicspiking neuralreinforcement learning
Photonic Chips Enable Optical Neural Learning
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Researchers led by Shuiying Xiang at Xidian University built photonic computing chips that let neural networks learn using light, reported in the journal Optica. The programmable system pairs a 16-channel photonic processor (272 trainable parameters) with a laser array enabling nonlinear optical spiking, delivering 1.39 TOPS/W linear, 988 GOPS/W nonlinear, and 320 ps latency while solving CartPole and inverted-pendulum tasks. The prototype may enable low-latency, energy-efficient learning for autonomous vehicles and robots.
