Abstract
We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection — achieving over 90% and 85% accuracy, respectively.
© 2021 The Author(s)
PDF Article | Presentation VideoMore Like This
M. Tan, X. Xu, J. Wu, A. Boes, B. Corcoran, T. Nguyen, S. T. Chu, B. E. Little, R. Morandotti, A.J. Lowery, A. Mitchell, D. Hicks, and D. J. Moss
SpM5C.1 Signal Processing in Photonic Communications (SPPCom) 2021
M. Tan, X. Xu, J. Wu, A. Boes, B. Corcoran, T. Nguyen, S. T. Chu, B. E. Little, R. Morandotti, D. G. Hicks, Mitchell, and David J. Moss
Tu5B.1 Photonics in Switching and Computing (PS) 2021
Mengxi Tan, Xingyuan Xu, Jiayang Wu, Andreas Boes, Bill Corcoran, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, and David J. Moss
Tu3G.1 Optical Fiber Communication Conference (OFC) 2022