{"id":34653,"date":"2026-04-08T13:52:00","date_gmt":"2026-04-08T05:52:00","guid":{"rendered":"https:\/\/eng.cycu.edu.tw\/?p=34653"},"modified":"2026-05-05T13:55:00","modified_gmt":"2026-05-05T05:55:00","slug":"major-breakthrough-in-quantum-computing-cycu-research-by-yan-jui-chang-showcased-at-nvidia-gtc-2026-with-10x-performance-gain","status":"publish","type":"post","link":"https:\/\/eng.cycu.edu.tw\/?p=34653","title":{"rendered":"Major Breakthrough in Quantum Computing: CYCU Research by Yan-Jui Chang Showcased at NVIDIA GTC 2026 with 10\u00d7 Performance Gain."},"content":{"rendered":"\n

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\u2019s journal Quantum Machine Intelligence<\/em>. The achievement highlights CYCU\u2019s strength in integrating quantum computing and AI (QAI) on the international stage.<\/p>\n\n\n\n

Held in San Jose, California (March 16\u201319), NVIDIA GTC 2026 gathered global experts in accelerated and quantum computing. Chang presented CYCU\u2019s quantum AI technologies to an international audience.<\/p>\n\n\n\n

The study, titled \u201cQuantum walks\u2013based adaptive distribution generation with efficient CUDA-Q acceleration,\u201d<\/em> introduces a novel quantum walks\u2013based adaptive distribution generator (QW-ADG), combining variational quantum circuits with discrete-time quantum walks. Accelerated using NVIDIA\u2019s CUDA-Q, the model achieved over 10\u00d7 speedup compared to traditional QGANs while maintaining high accuracy\u2014marking a key step toward practical quantum algorithms.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

Assistant Professor Chang Yan-Jui from Chung Yuan Christian University presented his quantum generative model research at NVIDIA GTC 2026, with the work published in Quantum Machine Intelligence. Using NVIDIA\u2019s CUDA-Q, the proposed method achieved over 10\u00d7 faster performance than traditional QGANs while maintaining high accuracy, demonstrating strong potential for real-world quantum AI applications.<\/p>\n","protected":false},"author":7,"featured_media":34654,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[501],"tags":[],"class_list":["post-34653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"\nMajor Breakthrough in Quantum Computing: CYCU Research by Yan-Jui Chang Showcased at NVIDIA GTC 2026 with 10\u00d7 Performance Gain. - Chung Yuan Christian University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eng.cycu.edu.tw\/?p=34653\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Major Breakthrough in Quantum Computing: CYCU Research by Yan-Jui Chang Showcased at NVIDIA GTC 2026 with 10\u00d7 Performance Gain. - Chung Yuan Christian University\" \/>\n<meta property=\"og:description\" content=\"Assistant Professor Chang Yan-Jui from Chung Yuan Christian University presented his quantum generative model research at NVIDIA GTC 2026, with the work published in Quantum Machine Intelligence. 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