Coherent all-optical reservoir computing for nonlinear equalization in long-haul optical fiber communication systems
•A reservoir computing (RC) is operated optically without O/E/O conversion.•The all-optical RC mitigates nonlinear distortion in a 3960-km fiber link.•Phase property enhances the RC’s performance in nonlinear signal processing.•The RC improves the Q2 factor by 2.6 dB in a single-λ system and 1.9 dB...
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| Published in | Optics and laser technology Vol. 174; p. 110697 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.07.2024
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| Subjects | |
| Online Access | Get full text |
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| Abstract | •A reservoir computing (RC) is operated optically without O/E/O conversion.•The all-optical RC mitigates nonlinear distortion in a 3960-km fiber link.•Phase property enhances the RC’s performance in nonlinear signal processing.•The RC improves the Q2 factor by 2.6 dB in a single-λ system and 1.9 dB in a WDM system.
Photonic reservoir computing (RC), as a promising paradigm of optical signal processing, has attracted a great deal of attention in fiber nonlinearity equalization recently. For real long-haul transmission scenarios, we propose an all-optical RC operated in a coherent scheme to mitigate the nonlinear distortion of high-speed signals. Compared with the direct decision architecture, the proposed RC can dramatically improve the Q2 factor by 2.6 dB for a single-wavelength system and 1.9 dB for a 7-channel wavelength-division multiplexing (WDM) system over 3960-km fiber transmission. Furthermore, the robustness of the coherent all-optical RC is also verified by conducting studies on different training sequences. The coherent all-optical RC shows great potential in real-time nonlinearity mitigation for long-haul fiber transmissions. |
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| AbstractList | •A reservoir computing (RC) is operated optically without O/E/O conversion.•The all-optical RC mitigates nonlinear distortion in a 3960-km fiber link.•Phase property enhances the RC’s performance in nonlinear signal processing.•The RC improves the Q2 factor by 2.6 dB in a single-λ system and 1.9 dB in a WDM system.
Photonic reservoir computing (RC), as a promising paradigm of optical signal processing, has attracted a great deal of attention in fiber nonlinearity equalization recently. For real long-haul transmission scenarios, we propose an all-optical RC operated in a coherent scheme to mitigate the nonlinear distortion of high-speed signals. Compared with the direct decision architecture, the proposed RC can dramatically improve the Q2 factor by 2.6 dB for a single-wavelength system and 1.9 dB for a 7-channel wavelength-division multiplexing (WDM) system over 3960-km fiber transmission. Furthermore, the robustness of the coherent all-optical RC is also verified by conducting studies on different training sequences. The coherent all-optical RC shows great potential in real-time nonlinearity mitigation for long-haul fiber transmissions. |
| ArticleNumber | 110697 |
| Author | Li, Zheng Zhu, Kunpeng Zhang, Shigui Liu, Yaping Huang, Zhanhua Li, Jianping Zhang, Lin Peng, Guanju Yang, Zhiqun |
| Author_xml | – sequence: 1 givenname: Guanju surname: Peng fullname: Peng, Guanju organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 2 givenname: Yaping surname: Liu fullname: Liu, Yaping email: liuyp@tju.edu.cn organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 3 givenname: Zheng orcidid: 0009-0004-5067-3825 surname: Li fullname: Li, Zheng organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 4 givenname: Kunpeng surname: Zhu fullname: Zhu, Kunpeng organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 5 givenname: Zhiqun orcidid: 0000-0001-9340-0203 surname: Yang fullname: Yang, Zhiqun email: yangzhiqun@tju.edu.cn organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 6 givenname: Jianping surname: Li fullname: Li, Jianping organization: HMN Technologies Co., Ltd, Tianjin 300467, China – sequence: 7 givenname: Shigui surname: Zhang fullname: Zhang, Shigui organization: HMN Technologies Co., Ltd, Tianjin 300467, China – sequence: 8 givenname: Zhanhua surname: Huang fullname: Huang, Zhanhua organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China – sequence: 9 givenname: Lin orcidid: 0000-0003-0545-1110 surname: Zhang fullname: Zhang, Lin email: lin_zhang@tju.edu.cn organization: State Key Laboratory of Precision Measurement Technology and Instruments, Key Laboratory of Opto-electronic Information Technology of Ministry of Education, Tianjin Key Laboratory of Integrated Opto-electronics Technologies and Devices, School of Precision Instruments and Opto-electronics Engineering, TianjinUniversity, Tianjin 300072, China |
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| Keywords | Photonic reservoir computing Long-haul transmission Nonlinearity mitigation Optical fiber communication Nonlinear equalization |
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| References | Appeltant, Soriano, Sande, Danckaert, Massar, Dambre, Schrauwen, Mirasso, Fischer (b0080) 2011; 2 Vatin, Rontani, Sciamanna (b0125) 2020; 5 Nguimdo, Verschaffelt, Danckaert, Sande (b0155) 2014; 22 Liu, Li, Huang, Cui, Xiong, Hauske, Xie, Cai (b0015) 2012; 30 Ip, Kahn (b0010) 2008; 26 M.C. Soriano, S. Ortín, D. Brunner, L. Larger, C.R. Mirasso, I. Fischer, L. Pesquera, Optoelectronic reservoir computing: tackling noise-induced performance degradation, Opt. Exp. 21 (2013) 12–20, doi:10.1364/OE.21.000012. Verstraeten, Schrauwen, Stroobandt, Campenhout (b0065) 2005; 95 Dejonckheere, Duport, Smerieri, Fang, Oudar, Haelterman, Massar (b0140) 2014; 22 Chen, Yi, Ke, Yang, Yang, Huang, Zhuge, Hu (b0145) 2019; 27 Li, Dev, Kühl, Jamshidi, Pachnicke (b0220) 2021; 32 Ellis, Zhao, Cotter (b0005) 2010; 28 Dong, Rafayelyan, Krzakala, Gigan (b0120) 2020; 26 Song, Pan, Arieli, Motaghian, Havstad, Willner (b0255) 2005; 252 X. Guo, S. Xiang, Y. Zhang, L. Lin, A. Wen, Y. Hao, Four-channels reservoir computing based on polarization dynamics in mutually coupled VCSELs system, Opt. Exp. 27 (2019) 23293–23306, doi:10.1364/OE.27.023293. S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation, Opt. Exp. 29 (2021) 30991–30997, doi:10.13 64/OE.435013. Wang, Fang, Wang (b0225) 2021; 495 W. Maass, T. Natschläger, H. Markram, Real-time computing without stable states: a new framework for neural computation based on perturbations, Neural Comput. 14 (2022) 2531–2560, doi:10.1162/089976602760407955. Ortín, Soriano, Pesquera, Brunner, San-Martín, Fischer, Mirasso, Gutiérrez (b0085) 2015; 5 Bueno, Brunner, Soriano, Fischer (b0110) 2017; 25 I Estébanez, S. Li, J. Schwind, I. Fischer, S. Pachnicke, A. Argyris, 56 GBaud PAM-4 100 km transmission system with photonic processing schemes, J. Lightw. Technol. 40 (2021) 55–62, doi:10.1109 /JLT.2021.3117921. Du, Cai, Zidan, Ma, Lee, Lu (b0095) 2017; 8 Paquot, Duport, Smerieri, Dambre, Schrauwen, Haelterman, Massar (b0130) 2012; 2 Huang, Zhou, Yang, Li (b0190) 2023; 29 K. Harkhoe, G.V.D. Sande, Delay-based reservoir computing using multimode semiconductor lasers: exploiting the rich carrier dynamics, IEEE J. Sel. Top. Quant. Electron. 25 (2019) 1–9, doi:10.1109/JSTQE.2019.2952594. Yi, Liao, Huang, Xue, Li, Hu (b0245) 2019; 37 Cai, Guo, Li, Bogris, Shore, Zhang, Wang (b0185) 2021; 9 Wang, Lima, Shastri, Prucnal, Huang (b0050) 2023; 29 Larger, Soriano, Brunner, Appeltant, Gutierrez, Pesquera, Mirasso, Fischer (b0135) 2012; 20 Grüner-Nielsen, Wandel, Kristensen, Jorgensen, Jorgensen, Edvold, Pálsdóttir, Jakobsen (b0230) 2005; 23 Freire, Neskornuik, Napoli, Spinnler, Costa, Khanna, Riccardi, Prilepsky, Turitsyn (b0035) 2021; 39 Katumba, Yin, Dambre, Bienstman (b0195) 2019; 37 Xu, Sun, Ji, Manton, Shieh (b0030) 2021; 39 Fan, Zhou, Gui, Lu, Lau (b0025) 2020; 11 Hou, Xia, Yang, Wang, Jayaprasath (b0165) 2018; 26 Turitsyn, Prilepsky, Le, Wahls, Frumin, Kamalian, Derevyanko (b0020) 2017; 4 Argyris, Cantero, Galletero, Pereda, Mirasso, Fischer, Soriano (b0205) 2020; 26 Lukoševičius, Jaeger (b0075) 2009; 3 Tanaka, Otani, Hayashi, Suzuki (b0235) 2002 Soriano, Ortín, Keuninckx, Appeltant, Danckaert, Pesquera, Sande (b0090) 2015; 26 Huang, Fujisawa, Lima, Tait, Blow, Tian, Bilodeau, Jha, Yaman, Peng, Batshon, Shastri, Inada, Wang, Prucnal (b0045) 2021; 4 Watts, Mikhailov, Savory, Bayvel, Glick, Lobel, Christensen, Kirkpatrick, Shang, Killey (b0240) 2005; 17 H. Zhang, X. Feng, B. Li, Y. Wang, K. Cui, F. Liu, W. Dou, Y. Huang, Integrated photonic reservoir computing based on hierarchical time-multiplexing structure, Opt. Exp. 22 (2014) 31356–31370, https://doi.o rg/10.1364/OE.22.031356. Vandoorne, Mechet, Vaerenbergh, Fiers, Morthier, Verstraeten, Schrauwen, Dambre, Bienstman (b0150) 2014; 5 Sugano, Kanno, Uchida (b0180) 2020; 26 Winzer, Neilson, Chraplyvy (b0250) 2018; 26 Jaeger, Haas (b0060) 2004; 304 Nguimdo, Lacot, Jacquin, Hugon, Sande, Chatellus (b0105) 2017; 42 Verstraeten, Schrauwen, D’Haene, Stroobandt (b0070) 2007; 20 Huang, Sorger, Miscuglio, Al-Qadasi, Mukherjee, Lampe, Nichols, Tait, Lima, Marquez, Wang, Chrostowski, Fok, Brunner, Fan, Shekhar, Prucnal, Shastri (b0040) 2021; X 7 Argyris, Bueno, Fischer (b0200) 2019; 7 Röhm, Jaurigue, Lüdge (b0175) 2020; 26 Watts (10.1016/j.optlastec.2024.110697_b0240) 2005; 17 Huang (10.1016/j.optlastec.2024.110697_b0190) 2023; 29 Freire (10.1016/j.optlastec.2024.110697_b0035) 2021; 39 Verstraeten (10.1016/j.optlastec.2024.110697_b0065) 2005; 95 Chen (10.1016/j.optlastec.2024.110697_b0145) 2019; 27 Argyris (10.1016/j.optlastec.2024.110697_b0205) 2020; 26 Grüner-Nielsen (10.1016/j.optlastec.2024.110697_b0230) 2005; 23 Huang (10.1016/j.optlastec.2024.110697_b0045) 2021; 4 Turitsyn (10.1016/j.optlastec.2024.110697_b0020) 2017; 4 Larger (10.1016/j.optlastec.2024.110697_b0135) 2012; 20 Appeltant (10.1016/j.optlastec.2024.110697_b0080) 2011; 2 10.1016/j.optlastec.2024.110697_b0160 Nguimdo (10.1016/j.optlastec.2024.110697_b0105) 2017; 42 Xu (10.1016/j.optlastec.2024.110697_b0030) 2021; 39 Verstraeten (10.1016/j.optlastec.2024.110697_b0070) 2007; 20 Wang (10.1016/j.optlastec.2024.110697_b0225) 2021; 495 10.1016/j.optlastec.2024.110697_b0115 Sugano (10.1016/j.optlastec.2024.110697_b0180) 2020; 26 Wang (10.1016/j.optlastec.2024.110697_b0050) 2023; 29 Argyris (10.1016/j.optlastec.2024.110697_b0200) 2019; 7 Tanaka (10.1016/j.optlastec.2024.110697_b0235) 2002 Ip (10.1016/j.optlastec.2024.110697_b0010) 2008; 26 Paquot (10.1016/j.optlastec.2024.110697_b0130) 2012; 2 Jaeger (10.1016/j.optlastec.2024.110697_b0060) 2004; 304 Ortín (10.1016/j.optlastec.2024.110697_b0085) 2015; 5 Yi (10.1016/j.optlastec.2024.110697_b0245) 2019; 37 Fan (10.1016/j.optlastec.2024.110697_b0025) 2020; 11 Soriano (10.1016/j.optlastec.2024.110697_b0090) 2015; 26 Vandoorne (10.1016/j.optlastec.2024.110697_b0150) 2014; 5 Dong (10.1016/j.optlastec.2024.110697_b0120) 2020; 26 Du (10.1016/j.optlastec.2024.110697_b0095) 2017; 8 Li (10.1016/j.optlastec.2024.110697_b0220) 2021; 32 Song (10.1016/j.optlastec.2024.110697_b0255) 2005; 252 Winzer (10.1016/j.optlastec.2024.110697_b0250) 2018; 26 10.1016/j.optlastec.2024.110697_b0100 10.1016/j.optlastec.2024.110697_b0215 Bueno (10.1016/j.optlastec.2024.110697_b0110) 2017; 25 Vatin (10.1016/j.optlastec.2024.110697_b0125) 2020; 5 Ellis (10.1016/j.optlastec.2024.110697_b0005) 2010; 28 Nguimdo (10.1016/j.optlastec.2024.110697_b0155) 2014; 22 Huang (10.1016/j.optlastec.2024.110697_b0040) 2021; X 7 Lukoševičius (10.1016/j.optlastec.2024.110697_b0075) 2009; 3 Dejonckheere (10.1016/j.optlastec.2024.110697_b0140) 2014; 22 10.1016/j.optlastec.2024.110697_b0170 Liu (10.1016/j.optlastec.2024.110697_b0015) 2012; 30 Röhm (10.1016/j.optlastec.2024.110697_b0175) 2020; 26 10.1016/j.optlastec.2024.110697_b0055 Hou (10.1016/j.optlastec.2024.110697_b0165) 2018; 26 Cai (10.1016/j.optlastec.2024.110697_b0185) 2021; 9 Katumba (10.1016/j.optlastec.2024.110697_b0195) 2019; 37 10.1016/j.optlastec.2024.110697_b0210 |
| References_xml | – volume: 22 start-page: 10868 year: 2014 end-page: 10881 ident: b0140 article-title: All-optical reservoir computer based on saturation of absorption publication-title: Opt. Exp. – volume: 39 start-page: 475 year: 2021 end-page: 480 ident: b0030 article-title: Feedforward and recurrent neural network-based transfer learning for nonlinear equalization in short-reach optical links publication-title: J. Lightw. Technol. – volume: 28 start-page: 423 year: 2010 end-page: 433 ident: b0005 article-title: Approaching the non-linear Shannon limit publication-title: J. Lightw. Technol. – reference: I Estébanez, S. Li, J. Schwind, I. Fischer, S. Pachnicke, A. Argyris, 56 GBaud PAM-4 100 km transmission system with photonic processing schemes, J. Lightw. Technol. 40 (2021) 55–62, doi:10.1109 /JLT.2021.3117921. – volume: 32 start-page: 978 year: 2021 end-page: 981 ident: b0220 article-title: Micro-ring resonator based photonic reservoir computing for PAM equalization publication-title: IEEE Photon. Technol. Lett. – start-page: 262 year: 2002 end-page: 264 ident: b0235 article-title: Optical signal processing with electro-absorption modulators publication-title: OFC 2002 Tech. Dig. – volume: 3 start-page: 127 year: 2009 end-page: 149 ident: b0075 article-title: Reservoir computing approaches to recurrent neural network training publication-title: Comput. Sci. Rev. – volume: 25 start-page: 2401 year: 2017 end-page: 2412 ident: b0110 article-title: Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback publication-title: Opt. Exp. – reference: S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation, Opt. Exp. 29 (2021) 30991–30997, doi:10.13 64/OE.435013. – volume: 30 start-page: 310 year: 2012 end-page: 316 ident: b0015 article-title: Intrachannel nonlinearity compensation by inverse Volterra series transfer function publication-title: J. Lightw. Technol. – volume: X 7 start-page: 1 year: 2021 end-page: 63 ident: b0040 article-title: Prospects and applications of photonic neural networks publication-title: Adv. Phys. – volume: 29 start-page: 1 year: 2023 end-page: 9 ident: b0190 article-title: Enhanced performance of reservoir computing using multiple self-injection and mutual injection VCSELs publication-title: IEEE J. Sel. Topics Quant. Electron. – reference: M.C. Soriano, S. Ortín, D. Brunner, L. Larger, C.R. Mirasso, I. Fischer, L. Pesquera, Optoelectronic reservoir computing: tackling noise-induced performance degradation, Opt. Exp. 21 (2013) 12–20, doi:10.1364/OE.21.000012. – volume: 2 start-page: 287 year: 2012 ident: b0130 article-title: Optoelectronic reservoir computing publication-title: Sci. Rep. – volume: 26 start-page: 3416 year: 2008 end-page: 3425 ident: b0010 article-title: Compensation of dispersion and nonlinear impairments using digital backpropagation publication-title: J. Lightw. Technol. – volume: 20 start-page: 391 year: 2007 end-page: 403 ident: b0070 article-title: An experimental unification of reservoir computing methods publication-title: Neural Netw. – volume: 42 start-page: 375 year: 2017 end-page: 378 ident: b0105 article-title: Prediction performance of reservoir computing systems based on a diode-pumped erbium-doped microchip laser subject to optical feedback publication-title: Opt. Lett. – reference: X. Guo, S. Xiang, Y. Zhang, L. Lin, A. Wen, Y. Hao, Four-channels reservoir computing based on polarization dynamics in mutually coupled VCSELs system, Opt. Exp. 27 (2019) 23293–23306, doi:10.1364/OE.27.023293. – volume: 26 start-page: 10211 year: 2018 end-page: 10219 ident: b0165 article-title: Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection publication-title: Opt. Exp. – volume: 4 start-page: 307 year: 2017 end-page: 322 ident: b0020 article-title: Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives publication-title: Optica – volume: 20 start-page: 3241 year: 2012 end-page: 3249 ident: b0135 article-title: Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing publication-title: Opt. Exp. – volume: 5 start-page: 14945 year: 2015 ident: b0085 article-title: A unified framework for reservoir computing and extreme learning machines based on a single time-delayed neuron publication-title: Sci. Rep. – volume: 495 year: 2021 ident: b0225 article-title: Signal recovery based on optoelectronic reservoir computing for high speed optical fiber communication system publication-title: Opt. Commun. – volume: 304 start-page: 78 year: 2004 end-page: 80 ident: b0060 article-title: Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication publication-title: Science – volume: 2 start-page: 468 year: 2011 ident: b0080 article-title: Information processing using a single dynamical node as complex system publication-title: Nat. Commun. – volume: 11 start-page: 3694 year: 2020 ident: b0025 article-title: Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning publication-title: Nat. Commun. – volume: 26 start-page: 1 year: 2020 end-page: 9 ident: b0180 article-title: Reservoir computing using multiple lasers with feedback on a photonic integrated circuit publication-title: IEEE J. Sel. Topics Quant. Electron. – volume: 95 start-page: 521 year: 2005 end-page: 528 ident: b0065 article-title: Isolated word recognition with the liquid state machine: a case study publication-title: Inform. Process Lett. – reference: H. Zhang, X. Feng, B. Li, Y. Wang, K. Cui, F. Liu, W. Dou, Y. Huang, Integrated photonic reservoir computing based on hierarchical time-multiplexing structure, Opt. Exp. 22 (2014) 31356–31370, https://doi.o rg/10.1364/OE.22.031356. – volume: 22 start-page: 8672 year: 2014 end-page: 8686 ident: b0155 article-title: Fast photonic information processing using semiconductor lasers with delayed optical feedback: Role of phase dynamics publication-title: Opt. Exp. – volume: 252 start-page: 162 year: 2005 end-page: 166 ident: b0255 article-title: Immunization of WDM systems to nonlinearity-induced crosstalk using optical polarization-shift-keying publication-title: Opt. Commun. – volume: 5 start-page: 3541 year: 2014 ident: b0150 article-title: Experimental demonstration of reservoir computing on a silicon photonics chip publication-title: Nat. Commun. – reference: K. Harkhoe, G.V.D. Sande, Delay-based reservoir computing using multimode semiconductor lasers: exploiting the rich carrier dynamics, IEEE J. Sel. Top. Quant. Electron. 25 (2019) 1–9, doi:10.1109/JSTQE.2019.2952594. – volume: 23 start-page: 3566 year: 2005 end-page: 3579 ident: b0230 article-title: Dispersion-compensating fibers publication-title: J. Lightw. Technol. – volume: 17 start-page: 2206 year: 2005 end-page: 2208 ident: b0240 article-title: Performance of single-mode fiber links using electronic feed-forward and decision feedback equalizers publication-title: IEEE Photon. Technol. Lett. – volume: 26 start-page: 1 year: 2020 end-page: 12 ident: b0120 article-title: Optical reservoir computing using multiple light scattering for chaotic systems prediction publication-title: IEEE J. Sel. Topics Quant. Electron. – volume: 7 start-page: 37017 year: 2019 end-page: 37025 ident: b0200 article-title: PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing publication-title: IEEE Access – volume: 29 start-page: 1 year: 2023 end-page: 12 ident: b0050 article-title: Multi-wavelength photonic neuromorphic computing for intra and inter-channel distortion compensations in WDM optical communication systems publication-title: IEEE J. Sel. Topics Quant. Electron. – volume: 5 year: 2020 ident: b0125 article-title: Experimental realization of dual task processing with a photonic reservoir computer publication-title: APL Photon. – volume: 26 start-page: 1 year: 2020 end-page: 8 ident: b0175 article-title: Reservoir computing using laser networks publication-title: IEEE J. Sel. Top. Quant. Electron. – volume: 26 start-page: 24190 year: 2018 end-page: 24239 ident: b0250 article-title: Fiber-optic transmission and networking: the previous 20 and the next 20 years publication-title: Opt. Exp. – volume: 39 start-page: 1696 year: 2021 end-page: 1705 ident: b0035 article-title: Complex-valued neural network design for mitigation of signal distortions in optical links publication-title: J. Lightw. Technol. – volume: 9 start-page: B1 year: 2021 end-page: B8 ident: b0185 article-title: Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing publication-title: Photon. Res. – reference: W. Maass, T. Natschläger, H. Markram, Real-time computing without stable states: a new framework for neural computation based on perturbations, Neural Comput. 14 (2022) 2531–2560, doi:10.1162/089976602760407955. – volume: 37 start-page: 1621 year: 2019 end-page: 1630 ident: b0245 article-title: Machine learning for 100 Gb/s/λ passive optical network publication-title: J. Lightw. Technol. – volume: 4 start-page: 837 year: 2021 end-page: 844 ident: b0045 article-title: A silicon photonic–electronic neural network for fibre nonlinearity compensation publication-title: Nat. Electron. – volume: 37 start-page: 2232 year: 2019 end-page: 2239 ident: b0195 article-title: A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection publication-title: J. Lightw. Technol. – volume: 8 start-page: 2204 year: 2017 ident: b0095 article-title: Reservoir computing using dynamic memristors for temporal information processing publication-title: Nat. Commun. – volume: 26 start-page: 1 year: 2020 end-page: 9 ident: b0205 article-title: Comparison of photonic reservoir computing systems for fiber transmission equalization publication-title: IEEE J. Sel. Top. Quant. Electron. – volume: 26 start-page: 388 year: 2015 end-page: 393 ident: b0090 article-title: Delay-based reservoir computing: noise effects in a combined analog and digital implementation publication-title: IEEE Trans. Neural Netw. Learn. Syst. – volume: 27 start-page: 27431 year: 2019 end-page: 27440 ident: b0145 article-title: Reservoir computing system with double optoelectronic feedback loops publication-title: Opt. Exp. – volume: X 7 start-page: 1 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0040 article-title: Prospects and applications of photonic neural networks publication-title: Adv. Phys. – volume: 7 start-page: 37017 year: 2019 ident: 10.1016/j.optlastec.2024.110697_b0200 article-title: PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2905422 – volume: 25 start-page: 2401 year: 2017 ident: 10.1016/j.optlastec.2024.110697_b0110 article-title: Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback publication-title: Opt. Exp. doi: 10.1364/OE.25.002401 – volume: 42 start-page: 375 year: 2017 ident: 10.1016/j.optlastec.2024.110697_b0105 article-title: Prediction performance of reservoir computing systems based on a diode-pumped erbium-doped microchip laser subject to optical feedback publication-title: Opt. Lett. doi: 10.1364/OL.42.000375 – ident: 10.1016/j.optlastec.2024.110697_b0215 doi: 10.1364/OE.435013 – volume: 26 start-page: 10211 year: 2018 ident: 10.1016/j.optlastec.2024.110697_b0165 article-title: Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection publication-title: Opt. Exp. doi: 10.1364/OE.26.010211 – volume: 26 start-page: 3416 year: 2008 ident: 10.1016/j.optlastec.2024.110697_b0010 article-title: Compensation of dispersion and nonlinear impairments using digital backpropagation publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2008.927791 – ident: 10.1016/j.optlastec.2024.110697_b0210 doi: 10.1109/JLT.2021.3117921 – volume: 495 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0225 article-title: Signal recovery based on optoelectronic reservoir computing for high speed optical fiber communication system publication-title: Opt. Commun. doi: 10.1016/j.optcom.2021.127082 – volume: 37 start-page: 2232 year: 2019 ident: 10.1016/j.optlastec.2024.110697_b0195 article-title: A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2019.2900568 – volume: 39 start-page: 1696 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0035 article-title: Complex-valued neural network design for mitigation of signal distortions in optical links publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2020.3042414 – volume: 4 start-page: 837 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0045 article-title: A silicon photonic–electronic neural network for fibre nonlinearity compensation publication-title: Nat. Electron. doi: 10.1038/s41928-021-00661-2 – volume: 30 start-page: 310 year: 2012 ident: 10.1016/j.optlastec.2024.110697_b0015 article-title: Intrachannel nonlinearity compensation by inverse Volterra series transfer function publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2011.2182038 – volume: 3 start-page: 127 year: 2009 ident: 10.1016/j.optlastec.2024.110697_b0075 article-title: Reservoir computing approaches to recurrent neural network training publication-title: Comput. Sci. Rev. doi: 10.1016/j.cosrev.2009.03.005 – volume: 26 start-page: 1 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0175 article-title: Reservoir computing using laser networks publication-title: IEEE J. Sel. Top. Quant. Electron. doi: 10.1109/JSTQE.2019.2927578 – ident: 10.1016/j.optlastec.2024.110697_b0170 doi: 10.1364/OE.27.023293 – volume: 26 start-page: 1 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0205 article-title: Comparison of photonic reservoir computing systems for fiber transmission equalization publication-title: IEEE J. Sel. Top. Quant. Electron. doi: 10.1109/JSTQE.2019.2936947 – volume: 95 start-page: 521 year: 2005 ident: 10.1016/j.optlastec.2024.110697_b0065 article-title: Isolated word recognition with the liquid state machine: a case study publication-title: Inform. Process Lett. doi: 10.1016/j.ipl.2005.05.019 – volume: 9 start-page: B1 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0185 article-title: Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing publication-title: Photon. Res. doi: 10.1364/PRJ.409114 – volume: 8 start-page: 2204 year: 2017 ident: 10.1016/j.optlastec.2024.110697_b0095 article-title: Reservoir computing using dynamic memristors for temporal information processing publication-title: Nat. Commun. doi: 10.1038/s41467-017-02337-y – volume: 252 start-page: 162 year: 2005 ident: 10.1016/j.optlastec.2024.110697_b0255 article-title: Immunization of WDM systems to nonlinearity-induced crosstalk using optical polarization-shift-keying publication-title: Opt. Commun. doi: 10.1016/j.optcom.2005.04.010 – volume: 5 start-page: 14945 year: 2015 ident: 10.1016/j.optlastec.2024.110697_b0085 article-title: A unified framework for reservoir computing and extreme learning machines based on a single time-delayed neuron publication-title: Sci. Rep. doi: 10.1038/srep14945 – start-page: 262 year: 2002 ident: 10.1016/j.optlastec.2024.110697_b0235 article-title: Optical signal processing with electro-absorption modulators publication-title: OFC 2002 Tech. Dig. – volume: 17 start-page: 2206 year: 2005 ident: 10.1016/j.optlastec.2024.110697_b0240 article-title: Performance of single-mode fiber links using electronic feed-forward and decision feedback equalizers publication-title: IEEE Photon. Technol. Lett. doi: 10.1109/LPT.2005.856326 – volume: 39 start-page: 475 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0030 article-title: Feedforward and recurrent neural network-based transfer learning for nonlinear equalization in short-reach optical links publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2020.3031363 – volume: 2 start-page: 468 year: 2011 ident: 10.1016/j.optlastec.2024.110697_b0080 article-title: Information processing using a single dynamical node as complex system publication-title: Nat. Commun. doi: 10.1038/ncomms1476 – volume: 5 start-page: 3541 year: 2014 ident: 10.1016/j.optlastec.2024.110697_b0150 article-title: Experimental demonstration of reservoir computing on a silicon photonics chip publication-title: Nat. Commun. doi: 10.1038/ncomms4541 – volume: 26 start-page: 1 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0180 article-title: Reservoir computing using multiple lasers with feedback on a photonic integrated circuit publication-title: IEEE J. Sel. Topics Quant. Electron. doi: 10.1109/JSTQE.2019.2929179 – volume: 20 start-page: 3241 year: 2012 ident: 10.1016/j.optlastec.2024.110697_b0135 article-title: Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing publication-title: Opt. Exp. doi: 10.1364/OE.20.003241 – volume: 37 start-page: 1621 year: 2019 ident: 10.1016/j.optlastec.2024.110697_b0245 article-title: Machine learning for 100 Gb/s/λ passive optical network publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2018.2888547 – volume: 32 start-page: 978 year: 2021 ident: 10.1016/j.optlastec.2024.110697_b0220 article-title: Micro-ring resonator based photonic reservoir computing for PAM equalization publication-title: IEEE Photon. Technol. Lett. doi: 10.1109/LPT.2021.3087323 – volume: 29 start-page: 1 year: 2023 ident: 10.1016/j.optlastec.2024.110697_b0190 article-title: Enhanced performance of reservoir computing using multiple self-injection and mutual injection VCSELs publication-title: IEEE J. Sel. Topics Quant. Electron. – volume: 28 start-page: 423 year: 2010 ident: 10.1016/j.optlastec.2024.110697_b0005 article-title: Approaching the non-linear Shannon limit publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2009.2030693 – volume: 29 start-page: 1 year: 2023 ident: 10.1016/j.optlastec.2024.110697_b0050 article-title: Multi-wavelength photonic neuromorphic computing for intra and inter-channel distortion compensations in WDM optical communication systems publication-title: IEEE J. Sel. Topics Quant. Electron. – ident: 10.1016/j.optlastec.2024.110697_b0100 doi: 10.1364/OE.21.000012 – volume: 2 start-page: 287 year: 2012 ident: 10.1016/j.optlastec.2024.110697_b0130 article-title: Optoelectronic reservoir computing publication-title: Sci. Rep. doi: 10.1038/srep00287 – volume: 22 start-page: 10868 year: 2014 ident: 10.1016/j.optlastec.2024.110697_b0140 article-title: All-optical reservoir computer based on saturation of absorption publication-title: Opt. Exp. doi: 10.1364/OE.22.010868 – volume: 304 start-page: 78 year: 2004 ident: 10.1016/j.optlastec.2024.110697_b0060 article-title: Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication publication-title: Science doi: 10.1126/science.1091277 – volume: 4 start-page: 307 year: 2017 ident: 10.1016/j.optlastec.2024.110697_b0020 article-title: Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives publication-title: Optica doi: 10.1364/OPTICA.4.000307 – volume: 20 start-page: 391 year: 2007 ident: 10.1016/j.optlastec.2024.110697_b0070 article-title: An experimental unification of reservoir computing methods publication-title: Neural Netw. doi: 10.1016/j.neunet.2007.04.003 – volume: 27 start-page: 27431 year: 2019 ident: 10.1016/j.optlastec.2024.110697_b0145 article-title: Reservoir computing system with double optoelectronic feedback loops publication-title: Opt. Exp. doi: 10.1364/OE.27.027431 – volume: 11 start-page: 3694 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0025 article-title: Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning publication-title: Nat. Commun. doi: 10.1038/s41467-020-17516-7 – volume: 26 start-page: 388 year: 2015 ident: 10.1016/j.optlastec.2024.110697_b0090 article-title: Delay-based reservoir computing: noise effects in a combined analog and digital implementation publication-title: IEEE Trans. Neural Netw. Learn. Syst. doi: 10.1109/TNNLS.2014.2311855 – ident: 10.1016/j.optlastec.2024.110697_b0055 doi: 10.1162/089976602760407955 – ident: 10.1016/j.optlastec.2024.110697_b0115 doi: 10.1109/JSTQE.2019.2952594 – volume: 5 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0125 article-title: Experimental realization of dual task processing with a photonic reservoir computer publication-title: APL Photon. doi: 10.1063/5.0017574 – volume: 23 start-page: 3566 year: 2005 ident: 10.1016/j.optlastec.2024.110697_b0230 article-title: Dispersion-compensating fibers publication-title: J. Lightw. Technol. doi: 10.1109/JLT.2005.855873 – volume: 26 start-page: 1 year: 2020 ident: 10.1016/j.optlastec.2024.110697_b0120 article-title: Optical reservoir computing using multiple light scattering for chaotic systems prediction publication-title: IEEE J. Sel. Topics Quant. Electron. doi: 10.1109/JSTQE.2019.2936281 – ident: 10.1016/j.optlastec.2024.110697_b0160 doi: 10.1364/OE.22.031356 – volume: 22 start-page: 8672 year: 2014 ident: 10.1016/j.optlastec.2024.110697_b0155 article-title: Fast photonic information processing using semiconductor lasers with delayed optical feedback: Role of phase dynamics publication-title: Opt. Exp. doi: 10.1364/OE.22.008672 – volume: 26 start-page: 24190 year: 2018 ident: 10.1016/j.optlastec.2024.110697_b0250 article-title: Fiber-optic transmission and networking: the previous 20 and the next 20 years publication-title: Opt. Exp. doi: 10.1364/OE.26.024190 |
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| SubjectTerms | Long-haul transmission Nonlinear equalization Nonlinearity mitigation Optical fiber communication Photonic reservoir computing |
| Title | Coherent all-optical reservoir computing for nonlinear equalization in long-haul optical fiber communication systems |
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