Reinforcement learning optimizes CV-QKD under practical constraints of limited FIR filters, photon number, and DAC/ADC resolution, delivering significant performance gains.
), (1) namely the mean photon number of the transmit-ted signal ๐*, the effective system transmittance ๐, and the effective system excess noise ๐!
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Optimization of CV-QKD Under Practical Constraints
Reinforcement learning optimizes CV-QKD under practical constraints of limited FIR filters, photon number, and DAC/ADC resolution, delivering significant performance gains.