@inproceedings{oai:nagoya.repo.nii.ac.jp:02002804,
 author = {Ishihara, Tohru and Shiomi, Jun and Hattori, Naoki and Masuda, Yutaka and Shinya, Akihiko and Notomi, Masaya},
 book = {Proceedings of PHOTONICS2019 : Photonics-Optics Technology Oriented Networking, Information, and Computing Systems},
 month = {Jan},
 note = {Future applications such as anomaly detection in a network and autonomous driving require extremely low, submicrosecond latency processing in pattern classification. Towards the realization of such an ultra-fast inference processing, this paper proposes an optical neural network architecture which can classify anomaly patterns at sub-nanosecond latency. The architecture fully exploits optical parallelism of lights using wavelength division multiplexing (WDM) in vector-matrix multiplication. It also exploits a linear optics with passive nanophotonic devices such as microring resonators, optical combiners, and passive couplers, which make it possible to construct low power and ultra-low latency optical neural networks. Optoelectronic circuit simulation using optical circuit implementation of multi-layer perceptron (MLP) demonstrates sub-nanosecond processing of optical neural network., 2019 IEEE/ACM Workshop on Photonics-Optics Technology Oriented Networking, Information and Computing Systems (PHOTONICS). 18-18 Nov. 2019, Denver, CO, USA},
 pages = {15--21},
 publisher = {IEEE},
 title = {An Optical Neural Network Architecture based on Highly Parallelized WDM-Multiplier-Accumulator},
 year = {2020}
}