Acta Photonica Sinica, Volume. 51, Issue 8, 0851518(2022)
Intelligent Ultrafast Photonics Based on Machine Learning：Review and Prospect（Invited）
Figures & Tables(4)
Fig. 1. Infrastructure of machine-learning strategies for automatic mode-locking ultrafast fibre lasers using control of intracavity elements via a feedback loop and control algorithm
Fig. 3. The main principles and design of ultrafast photonics under machine learning strategies
Table 1. Comparison of design methods and performance of ultrafast fiber lasers based on machine learning strategy
View tableView in ArticleTable 1. Comparison of design methods and performance of ultrafast fiber lasers based on machine learning strategy
Laser system Control elements Objective function Algorithms Targeted parameters Advantages Disadvantages Performance References Mode-locked fibre laser Waveplates，polarizer，birefringence Pulse energy divided by spectral kurtosis of the waveform Search algorithm，singular value decomposition，local optimization algorithm Stable mode locking Fast identification of birefringence state and optimization of controller parameters Requires a large number of measured parameters 10 min~1 h ［ 16 ，61 ，120 ，121 ］NPE fibre laser Electronic polarization controller，liquid crystal variable retarder FFT，corresponding function of different systems，RF peak Advanced search algorithm，random collision recovery，genetic algorithm，human-like algorithm Fundamental and harmonic mode locking，Q-switching and mode locking Multi-function，real-time，multi-regimes of operation Instability cannot be detected in real time Mode-locking time of a few seconds，subsecond recovery time ［ 62 ，63 ，105 ，128 ］NPE fibre laser Electronic polarization controller Anomalous Harmonic power for anomalous dispersion，intensity of FSR radio-frequency component for normal dispersion Evolutionary algorithm Q-switching and stable mode locking Two regimes of operation Slow convergence Mode-locking time of 30 min ［ 54 ］NPE fibre laser Polarization control Repetition frequency Evolutionary algorithm Harmonic mode-locking with anomalous dispersion Optimized high harmonic mode locking Slow convergence Harmonic mode-locking time of 2 h ［ 122 ］Ring fibre laser Electronic polarization controller，pump power Peak power，maximized RF signal Genetic algorithm Anomalous dispersion with stable single-pulse mode locking High contrast between stable and unstable pulses Complex fitness function，slow convergence speed Mode-locking time of 30 min ［ 57 ］Ring fibre laser Electronic polarization controller， electric dial，Normal dispersion Centre wavelength，coefficient between pulse amplitude jitter spectrum and target Genetic algorithm Stable tunable，birefringent filtering Adjust center wavelength and repetition frequency Limited tuning Unable to integrate ［58，123，［ 126 ］NPE fibre laser Electronic polarization controller Radio-frequency power at expected repetition rate，spectral similarity and output power Genetic algorithm Stable mode locking Spectra can be tuned Only
fundamental
mode locking
Mode-locking time of 90 seconds，30 s recovery time ［ 124 ］NPE fibre laser Polarizer，amplifier，counter Pulse energy of single pulse solution Genetic algorithm Multipulse mode Simple fitness function Complex polarization control Numerical simulation results ［ 55 ，125 ］Figure-of-eight laser Pump diode powers Autocorrelation duration XGBoost，Feed-forward neural network Replace time domain comb Real-time multiparameter monitoring with a single oscilloscope Requires a large number of measured parameters Unable to integrate practicality ［104］ Mode-locked fibre laser Waveplates，polarizer Pulse energy divided by spectral kurtosis of the waveform Feed-forward neural network，recurrent neural network Stable mode locking Fiber birefringence changes quickly Slow training process Numerical simulation results ［ 76 ］
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Jiajun PENG, Xiaohui LI, Sunfan XI, Keqin JIAO. Intelligent Ultrafast Photonics Based on Machine Learning：Review and Prospect（Invited）[J]. Acta Photonica Sinica, 2022, 51(8): 0851518
Paper Information
Category: Special Issue for the 60th Anniversary of XIOPM of CAS, and the 50th Anniversary of the Acta Photonica Sinica Ⅱ
Received: May. 10, 2022
Accepted: Jul. 4, 2022
Published Online: Oct. 25, 2022
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