Free-space continuous variable quantum key distribution has attracted attention due to its ability to provide a more widely available transmission channel. However, the key rate of free-space continuous variable quantum key distribution itself is not high, and a portion of the original key needs to be allocated for parameter estimation. In this article, we analyze the spatial correlation of free-space continuous variable quantum key distribution and propose the use of a nearby system to transmit an inexpensive signal. Parameter estimation is performed using a deep learning model to predict and reduce the amount of original key used for parameter estimation, thereby improving the key rate.
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