Congratulations to our team member Xu Juncong on the acceptance of his latest paper, "Al-Generated Image Detection Algorithm Based on Classical-Quantum Hybrid Neural Network", by the journal SCIENCE CHINA Information Sciences!

Based on Swin Transformer V2, we achieved quantum-enhanced AI-generated image detection and validated it on the "Origin Wukong" superconducting quantum computer, demonstrating the enhanced capabilities of a classical-quantum hybrid neural network. Special thanks to our collaborators—Researcher Han Fang from the National University of Singapore, Professor Yang Yang from Anhui University, and Professor Zhang Weiming from the University of Science and Technology of China—for their invaluable support.

Notably, this work was entirely completed using the Origin Quantum Cloud Platform + QPanda + PyVQNet pipeline, and successfully leveraged the platform's quantum multithreading capability to efficiently execute parallel independent circuits across four sets of qubit regions on a 72-qubit array.