Supplementary Materials

The supplementary document consists of six sections. I. The first section of Quantum Network will introduce the composition of parametric quantum gates and analyze the performance of two quantum network structures (Order Type and Cross Type). II. The section of Quantum Gradient Updating Algorithm will be used to develop three specific parameter training methods. III. The section on Image Information Reconstruction will supplement other simulation results of image reconstruction. IV. The section on Sparse Coding and Decoding for Complex Quantum States involves the addition of sparse coding and decoding for complex quantum states. V. The section on the Size of Hilbert Space includes analyzing the compressible space size of given quantum states. VI. In the Generalization, Robustness and Quantum Superiority section, we supplement the performance analysis of the QSCD algorithm.