analiza aiqbench

This article focuses on WiMi Hologram Cloud's development of a quantum convolutional neural network that leverages three-qubit interactions to enhance classical data classification tasks. By expanding the reachable state space and generating high-intensity entanglement at shallow circuit depths, this architecture addresses key limitations in expressive capacity for quantum deep learning models. The research represents a significant step toward integrating quantum advantages into established machine learning workflows rather than targeting only problems intractable for classical computers.