MMI-Based Pseudo-Real-Value Silicon Photonic Neural Networks
Shang Gao, Qiang Li, Yang Zhao, Dawei Wang, Guoguang Yao, Wenjie Yuan, Shengping Liu, Dapeng Liu, Naidi Cui, Junbo Feng · 2024
We present a pseudo-real-value silicon photonic chip based on cascaded 4×4 multimode interference couplers and phase shifter arrays for convolutional neural networks, which experimentally demonstrated a classification accuracy of 98.4% on the MNIST dataset.