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Real-time masking in photonic reservoir computing based on semiconductor lasers.

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Title: Real-time masking in photonic reservoir computing based on semiconductor lasers.
Authors: Chen, Jiahao1 (AUTHOR), Hou, Yushuang1 (AUTHOR) hsdxwr@163.com, Guo, Xiaoyu2 (AUTHOR), Li, Qiudi1 (AUTHOR), Li, Siyu1 (AUTHOR), Guo, Chuanlong1 (AUTHOR), Yue, Dianzuo1 (AUTHOR)
Source: Applied Physics B: Lasers & Optics. Jul2025, Vol. 131 Issue 7, p1-9. 9p.
Subjects: Semiconductor lasers, Optical feedback, Optical computing, Nonlinear mechanics, Scientific computing, Electronic modulation
Abstract: Photonic reservoir computing (RC) based on semiconductor lasers (SLs) has gained significant attention due to its simplicity, fast training, and low energy consumption. However, the reliance on offline masking at the input layer limits its application in real-time tasks. In this work, we propose and numerically investigate a real-time masking method for photonic RC system using an SL subjected to optical feedback and sinusoidal modulation. The mask signal is injected into a Mach–Zehnder modulator alongside input data, enabling real-time masking. We analyze the nonlinear dynamics of the mask-SL and identify optimal parameters for mask signal generation. The system demonstrates robust predictive performance for the Santa Fe time series (minimum NMSE = 0.033) and high memory capacity (MC), with MC values reaching up to 20 in specific parameter regions. Although the real-time masking RC system exhibits slight performance degradation compared to conventional offline masking (NMSE = 0.01, MC = 23) and requires additional parameter tuning for mask generation, it provides a viable solution for real-time data processing in photonic RC implementations. [ABSTRACT FROM AUTHOR]
Copyright of Applied Physics B: Lasers & Optics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Real-time masking in photonic reservoir computing based on semiconductor lasers.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Jiahao%22">Chen, Jiahao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hou%2C+Yushuang%22">Hou, Yushuang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hsdxwr@163.com</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Xiaoyu%22">Guo, Xiaoyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qiudi%22">Li, Qiudi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Siyu%22">Li, Siyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Chuanlong%22">Guo, Chuanlong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yue%2C+Dianzuo%22">Yue, Dianzuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Applied+Physics+B%3A+Lasers+%26+Optics%22">Applied Physics B: Lasers & Optics</searchLink>. Jul2025, Vol. 131 Issue 7, p1-9. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Semiconductor+lasers%22">Semiconductor lasers</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+feedback%22">Optical feedback</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+computing%22">Optical computing</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+mechanics%22">Nonlinear mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+computing%22">Scientific computing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+modulation%22">Electronic modulation</searchLink>
– Name: Abstract
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  Data: Photonic reservoir computing (RC) based on semiconductor lasers (SLs) has gained significant attention due to its simplicity, fast training, and low energy consumption. However, the reliance on offline masking at the input layer limits its application in real-time tasks. In this work, we propose and numerically investigate a real-time masking method for photonic RC system using an SL subjected to optical feedback and sinusoidal modulation. The mask signal is injected into a Mach–Zehnder modulator alongside input data, enabling real-time masking. We analyze the nonlinear dynamics of the mask-SL and identify optimal parameters for mask signal generation. The system demonstrates robust predictive performance for the Santa Fe time series (minimum NMSE = 0.033) and high memory capacity (MC), with MC values reaching up to 20 in specific parameter regions. Although the real-time masking RC system exhibits slight performance degradation compared to conventional offline masking (NMSE = 0.01, MC = 23) and requires additional parameter tuning for mask generation, it provides a viable solution for real-time data processing in photonic RC implementations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Physics B: Lasers & Optics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00340-025-08513-z
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      – SubjectFull: Semiconductor lasers
        Type: general
      – SubjectFull: Optical feedback
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      – SubjectFull: Optical computing
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      – SubjectFull: Electronic modulation
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      – TitleFull: Real-time masking in photonic reservoir computing based on semiconductor lasers.
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              M: 07
              Text: Jul2025
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              Y: 2025
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