WiMi Develops SHQCNN Model for Image Classification Tasks with Enhanced Variational Quantum Methods and Kernel Encoding Technique.

WiMi Hologram Cloud is exploring a hybrid quantum-classical convolutional neural network model called SHQCNN for image classification tasks. The model uses an enhanced variational quantum method to efficiently operate on image data and optimize parameters based on real-time feedback. It adopts the kernel encoding method to enhance data distinction and processing in the input layer and designs variational quantum circuits in the hidden layer to solve the problem of rising computational complexity. The SHQCNN model has the potential to bring innovative breakthroughs to the field of image classification.