Design of Power Control System for Quantum Communication Laser Based on Machine Learning
Quantum communication lasers have a wider bandwidth in frequency band and potential ultra-high transmission capacity in wireless communication,it can also play an important role in the application of fast wave carrier.However,due to the incompatibil-ity of power control,the pulse power of quantum communication lasers will fluctuate during data transmission,resulting in distortion of transmission bandwidth.A power control system design method for quantum communication lasers based on machine learning is studied.On the premise of obtaining different control instructions,the microcontroller and FPGA are used as the main control unit of the quantum communication laser.A/D is used as the conversion unit,and the conversion circuit is designed by the serial encapsula-tion.The relationship between current and voltage based on machine learning is analyzed to realize the hardware design of the system;The communication detection unit of the quantum communication laser machine is constructed.Under the multi quantum coupling re-lationship,the control form of the active area of the laser is set,and the operating mode of the laser is analyzed based on the dielectric constant,corresponding to the power feedback conditions of the quantum communication.Based on the Q function algorithm in ma-chine learning,the optimal power control scheme is found,and the system software is designed.The experimental results show that under the variable conditions of signal gain of 0.05,0.10,and 0.15,the pulse power of quantum communication lasers of the de-signed system can achieve the stable power control in 50 round trips,and the pulse widths are 528 FS,556 FS,and 585 FS,respec-tively,without any distortion.This indicates that the system has a good effect on the power control of quantum communication lasers.
machine learningquantum communication laserpower controlsystem design
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维普
