Assistant Professor Chang Yan-Jui from Chung Yuan Christian University recently presented his research on quantum generative models at the global AI conference NVIDIA GTC 2026, with the work also published in Springer Nature’s journal Quantum Machine Intelligence. The achievement highlights CYCU’s strength in integrating quantum computing and AI (QAI) on the international stage.
Held in San Jose, California (March 16–19), NVIDIA GTC 2026 gathered global experts in accelerated and quantum computing. Chang presented CYCU’s quantum AI technologies to an international audience.
The study, titled “Quantum walks–based adaptive distribution generation with efficient CUDA-Q acceleration,” introduces a novel quantum walks–based adaptive distribution generator (QW-ADG), combining variational quantum circuits with discrete-time quantum walks. Accelerated using NVIDIA’s CUDA-Q, the model achieved over 10× speedup compared to traditional QGANs while maintaining high accuracy—marking a key step toward practical quantum algorithms.
Chang noted that the research aims to move quantum algorithms from theory to real-world applications, leveraging CUDA-Q and GPU acceleration for use in fintech, data generation, scientific computing, and quantum AI. He will continue advancing applications in materials science, image processing, and optimization, while cultivating interdisciplinary talent.
