Approximate reservoir computing with a semiconductor laser for reducing energy consumption
The study introduced approximate reservoir computing using a semiconductor laser by quantizing both reservoir node states and output weights. By optimizing the sampling frequency, injection current, and quantization bits, researchers significantly reduced energy consumption—cutting it by 91%—while successfully maintaining prediction accuracy for chaotic time-series data. This offers an energy-efficient method for real-world edge computing.