Li, Pui

Shore, Alan

Wang, Yuncai

English

Bangor University Research Portal

   PRIFYSGOL BANGOR / BANGOR UNIVERSITY  Chaos-Based Photonic Information Processing platforms : Capabilitiesand ChallengesShore, Alan; Li, Pui; Wang, YuncaiPublished: 01/04/2023Cyswllt i'r cyhoeddiad / Link to publicationDyfyniad o'r fersiwn a gyhoeddwyd / Citation for published version (APA):Shore, A., Li, P., & Wang, Y. (2023). Chaos-Based Photonic Information Processing platforms :Capabilities and Challenges. Paper presented at Semiconductor and Integrated OptoElectronics(SIOE), Cardiff.Hawliau Cyffredinol / General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/orother copyright owners and it is a condition of accessing publications that users recognise and abide by the legalrequirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of privatestudy or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying the publication in the public portal ?Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access tothe work immediately and investigate your claim. 14. Sep. 2023Chaos-Based Photonic Information- Processing Platforms: Capabilities and Challenges K. A. Shore(1), P. Li (2,3) and Y. C. Wang (2) (1) Bangor University,School of Computer Science and Electronic Engineering, LL57 1UT,Wales,UK ;(2) Guangdong Provincial Key Laboratory of Photonics Information Technology, School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China ;(3) Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China This contribution will provide an overview of developments in the use of chaotic semiconductor lasers to effect advanced information processing in the optical domain. The presentation will also consider the opportunities for delivering enhanced functionality using photonic integration.  The demonstration of chaos synchronisation in semiconductor lasers [1] stimulated a significant world-wide research effort directed at the implementation of secure optical communications systems [2].  Although efforts to develop such communications systems continue, the richness of optical chaos enables several other directions of development [3] and notably in physical means for random number generation []and reservoir computing.  Results of our work in these two areas will be presented.  In respect of random number generation (RNG), we have made particular progress in the generation at multi-Gb/s data rates without the need for off-line post-processing [4-8] with Tb/s RNG being feasible [9].  Here we will point to outstanding challenges to achieving compact photonic RNG modules through photonic integration [10].    Chaotic semiconductor lasers are the work-horse device for so-called photonic reservoir computing. Our recent efforts on modulation format identification [11] and image recognition [12] using reservoir computing will be outlined and indications of directions for future development will be given. Almost any semiconductor laser can be utilised in such technologies, but, VCSELs and nano-lasers have clear attractions for photonic integration. Our recent work has considered the opportunities for utilising polarisation chaos in stand-alone VCSELs for enhancing information processing capabilities [13]. Here a specific device challenge arises since the requisite behaviour is not a feature of commercially-available VCSELs.   Funding Acknowledgements National Natural Science Foundation of China, Grants (62175177, 61927811, 61731014 and U19A2076); Program for Guangdong Introducing Innovative and Entrepreneurial Teams; Natural Science Foundation of Shanxi Province under Grant (201901D211116; 201901D211077) References 1. S.Sivaprakasam and K.A.Shore,Opt.Letts.,24,466,1999 2. A.Argyris et al, Nature,438,343,2005 3. M.Sciamanna and K.A.Shore,Nature Photonics,9,151,2015 4. P.Li et al , Optics Letts., 42,2699-2702, 2017 5. Q.Cai et al, Optics and Laser Tech, in press, 2023 6. P. Li et al, APL Photonics, 3, 061301,2018. 7. P. Li et al, Journal of Lightwave Technology, 36, 2531,2018 8. P. Li et al, Optics Letters, 41, 3347, 2016. 9. Y. Guo et al, Advanced Photonics, 4, 035001,2022. 10. Q. Cai et al., Journal of Lightwave Technology, in press, 2022. DOI 10.1109/JLT.2022.3216452 11. Q.Cai et al, Photonics Research,9,B1-B8,2021 12. J.Li et al, Chaos,42,123102,2022 13. Z. Wang et al, Optics Express, 29, 17940, 2021. 

Chaos-Based Photonic Information Processing platforms : Capabilities and Challenges

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Chaos-Based Photonic Information Processing platforms : Capabilities and Challenges

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