  Quantum network is an emerging type of network structure that leverages the
principles of quantum mechanics to transmit and process information. Compared
with classical data reconstruction algorithms, quantum networks make image
reconstruction more efficient and accurate. They can also process more complex
image information using fewer bits and faster parallel computing capabilities.
Therefore, this paper will discuss image reconstruction methods based on our
quantum network and explore their potential applications in image processing.
We will introduce the basic structure of the quantum network, the process of
image compression and reconstruction, and the specific parameter training
method. Through this study, we can achieve a classical image reconstruction
accuracy of 97.57\%. Our quantum network design will introduce novel ideas and
methods for image reconstruction in the future.
