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Optical Neuromorphic Processor at 11 TeraOPs/s based on Kerr Soliton Crystal Micro-combs

  • 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
  • , David J. Moss*
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS, generating convolutions of images of 250,000 pixels with 8-bit resolution for 10 kernels simultaneously. We use the same hardware to form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 88% accuracy. Our approach is scalable and trainable for applications to unmanned vehicle and real-time video recognition.

源语言英语
主期刊名2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781557524669
出版状态已出版 - 2022
已对外发布
活动2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - San Diego, 美国
期限: 6 3月 202210 3月 2022

出版系列

姓名2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

会议

会议2022 Optical Fiber Communications Conference and Exhibition, OFC 2022
国家/地区美国
San Diego
时期6/03/2210/03/22

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