FPGA-Driven Soliton Locking for Reduced Manual Intervention in Microcombs

In this article, we propose and demonstrate a soliton locking structure based on FPGA control. The FPGA integrates all necessary control modules for power-kicking control and incorporates additional techniques to simplify the locking process and reduce the need for manual intervention. These techniques include decoupling the PZT driving voltage from the laser frequency through pre-distortion, using reinforcement learning to elongate the soliton, and implementing automatic soliton tracking to cancel the relative frequency drift between the pump laser and the microresonator. In our experiment, each locking attempt requires only 8.24 ms. On average, approximately 10 attempts are sufficient to re-lock single soliton after an abrupt vibration induced by beating the optical table, resulting in an average locking time of 82 ms. The FPGA-based system automatically detects and re-locks without manual intervention, ensuring reliable soliton locking. The results show that this structure effectively locks single solitons in silica microcombs for both 17 GHz and 22 GHz microresonators with a Q factor above 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup>, showing a state-of-the-art stability and robustness.

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Publication Details

Journal
Journal of Lightwave Technology
Published
2025-08-19
DOI
https://doi.org/10.1109/jlt.2025.3600657
Citations
1
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

FPGA-Driven Soliton Locking for Reduced Manual Intervention in Microcombs

Ziye Wang, Daewon Suk, Hansuek Lee, Changmin Ahn et al.
1 citations
Journal of Lightwave Technology
Teleoperation and Haptic Systems
0.71
article

FPGA-Driven Soliton Locking for Reduced Manual Intervention in Microcombs

Ziye Wang, Daewon Suk, Hansuek Lee, Changmin Ahn, Jungwon Kim, J. S. Baek
article en
1 citations

Abstract

In this article, we propose and demonstrate a soliton locking structure based on FPGA control. The FPGA integrates all necessary control modules for power-kicking control and incorporates additional techniques to simplify the locking process and reduce the need for manual intervention. These techniques include decoupling the PZT driving voltage from the laser frequency through pre-distortion, using reinforcement learning to elongate the soliton, and implementing automatic soliton tracking to cancel the relative frequency drift between the pump laser and the microresonator. In our experiment, each locking attempt requires only 8.24 ms. On average, approximately 10 attempts are sufficient to re-lock single soliton after an abrupt vibration induced by beating the optical table, resulting in an average locking time of 82 ms. The FPGA-based system automatically detects and re-locks without manual intervention, ensuring reliable soliton locking. The results show that this structure effectively locks single solitons in silica microcombs for both 17 GHz and 22 GHz microresonators with a Q factor above 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup>, showing a state-of-the-art stability and robustness.

Journal of Lightwave TechnologyVol. 43(19)
Korea Advanced Institute of Science and Technology (KR)
Climate action
Openalex Percentile: Top 29%
Teleoperation and Haptic Systems
0.71
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FPGA-Driven Soliton Locking for Reduced Manual Intervention in Microcombs — Ziye Wang, Daewon Suk, et al. · Journal of Lightwave Technology (2025) | TGRS Research Map | TGRS