Optical neuromorphic processing based on Kerr microcombs

X. Xu, M. Tan, J. Wu, A. Boes, B. Corcoran, T. Nguyen, S. T. Chu, B. E. Little, R. Morandotti, A. Mitchell, D. Hicks, D. J. Moss

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther


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.

Original languageEnglish
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)9781943580910
Publication statusPublished - 2021
EventConference on Lasers and Electro-Optics 2021 - Online, San Jose, United States of America
Duration: 9 May 202114 May 2021
https://opg.optica.org/conference.cfm?meetingid=124&yr=2021#AW2E (CLEO: Science and Innovations)
https://opg.optica.org/conference.cfm?meetingid=123&yr=2021 (CLEO: Applications and Technology)
https://opg.optica.org/conference.cfm?meetingid=155&yr=2021 (CLEO: QELS_Fundamental Science)


ConferenceConference on Lasers and Electro-Optics 2021
Abbreviated titleCLEO 2021
Country/TerritoryUnited States of America
CitySan Jose
Internet address

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