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Quantum communication lasers have wider bandwidth in the frequency band, have potential ultra-high transmission capacity in wireless communication, and can also play an important role in the application of fast wave carrier. However, due to the incompatibility of power control, the pulse power of quantum communication lasers will fluctuate during data transmission, resulting in distortion of transmission bandwidth. The design method of power control system 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 serial encapsulation. The relationship between current and voltage is analyzed based on machine learning, and the hardware design of the system is realized; The communication detection unit of the quantum communication laser machine is constructed. Under the multi quantum coupling relationship, 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 machine learning, the optimal power control scheme is found and the system software is designed. The experimental results show that using the small signal gain as the test variable condition, the system in this paper can control the pulse power of the quantum communication laser, achieve stable power control in 50 round trips, and the pulse width is not distorted, so it has an application effect.