講演情報
[9a-N203-8]Frequency-multiplexed photonic reservoir computing using single soliton microcomb
〇Jonathan Cuevas1, Yue Hu2, Baoqi Shi2, Jinqiu Liu2,3, Kaoru Minoshima4,5, Naoya Kuse5 (1.Tokushima Univ., 2.IQA, 3.USTC, 4.UEC, 5.pLED)
キーワード：
microresonators、optical frequency comb、reservoir computing
Reservoir computing (RC) is a machine learning algorithm that can perform a variety of tasks such as chaotic time series data prediction. Photonic implementations of RC have been demonstrated recently using time-multiplexing, spatial multiplexing, and frequency multiplexing. Frequency multiplexing overcomes the limitations of the previously mentioned methods such as requirement of an input mask, 2D camera, and photodetector array, which increases processing time. Previously demonstrated examples of frequency multiplexing, however, use a long fiber cavity, which can affect processing speed and increases the complexity of the setup, making it difficult to integrate by silicon photonics technologies. In this report, we demonstrate a new type of frequency-multiplexed RC using a microresonator, which addresses the drawbacks of previously demonstrated methods of frequency-multiplexed RC.