Journal
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
Volume 27, Issue 2, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTQE.2020.3011879
Keywords
Laser modes; Semiconductor lasers; Laser feedback; Cavity resonators; Optical feedback; Neuromorphics; Fabry-Perot; Optical communication; recurrent neural networks; laser modes; dispersive channels; neural network hardware
Categories
Funding
- H2020 Project NEoteRIC [871330]
- General Secretariat for Research and Technology (GSRT) [2247]
- Hellenic Foundation for Research and Innovation (HFRI)
Ask authors/readers for more resources
By utilizing optical injection and feedback, FP lasers show potential in neuromorphic computing by enhancing processing power at longitudinal mode granularity and performing real-time signal equalization in optical communication systems. Increasing the number of modes improves classification performance and allows for simultaneous processing of multiple data streams.
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a master FP laser and a slave FP laser under feedback we demonstrate the potential for scaling up the processing power at longitudinal mode granularity and perform real-time processing for signal equalization in 25 Gbaud intensity modulation direct detection optical communication systems. We demonstrate the improvement of classification performance as the number of modes multiplies the number of virtual nodes and offers the capability of simultaneous processing of arbitrary data streams. Extensive numerical simulations show that up to 8 longitudinal modes in typical Fabry-Perot lasers can be leveraged to enhance classification performance.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
