BP neural network enables 2bits precision improvement for microring weight bank

Zhenming He; Junwei Cheng; Hailong Zhou; Jianji Dong; Xinliang Zhang

doi:10.1117/12.2672581

10 April 2023 BP neural network enables 2bits precision improvement for microring weight bank

Zhenming He, Junwei Cheng, Hailong Zhou, Jianji Dong, Xinliang Zhang

Proceedings Volume 12614, 14th International Photonics and Optoelectronics Meetings (POEM 2022); 1261403 (2023) https://doi.org/10.1117/12.2672581
Event: 14th International Photonics and Optoelectronics Meeting (POEM 2022), 2022, Wuhan, China

Abstract

We experimentally demonstrate a method for predicting and compensating the system error of a 3×3 on-chip microring resonator (MRR) weight bank using a pre-designed back propagation (BP) neural network. The system error can be quickly predicted and well compensated to improve the computation precision of optical matrix-vector multiplication (MVM), without bulky experimental devices. The results show that the computation precision can be increased from 5- bit to 7-bit. This work provides a weight accuracy improvement method for MRR-based photonic integrated chips for applications such as optical computing and optical communication.

Citation Download Citation

Zhenming He, Junwei Cheng, Hailong Zhou, Jianji Dong, and Xinliang Zhang "BP neural network enables 2bits precision improvement for microring weight bank", Proc. SPIE 12614, 14th International Photonics and Optoelectronics Meetings (POEM 2022), 1261403 (10 April 2023); https://doi.org/10.1117/12.2672581

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