CYCU has achieved another milestone in quantum computing. A cross-institutional team led by Dr. Yan-Jui Chang from CYCU’s Quantum Information Center, together with Dr. Chen-Lin Liu (NTU), Dr. Kuan-Cheng Chen (Imperial College London), and Dr. Yen-Chi Chen (Wells Fargo), won Best Paper (1st Place) in the Quantum Applications, Algorithms, and Platforms (QAPP) track at the IEEE International Conference on Quantum Computing and Engineering (QCE 2025).
Their award-winning paper, Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting, outperformed teams from NASA and Classiq, marking a significant breakthrough in applying quantum technology to climate challenges. For Taiwan, often threatened by typhoons, this achievement carries particular importance.
The team’s proposed Quantum Parameter Adaptation (QPA) framework reduces model parameters by over 96%, while maintaining or even surpassing traditional accuracy. This innovation enables the development of energy-efficient, low-cost forecasting tools with faster computation, offering new possibilities for typhoon prediction, extreme climate monitoring, and disaster preparedness.
Dr. Yan-Jui Chang, Assistant Professor at CYCU, emphasized that the award affirms years of dedication by the Taiwan team. “We have shown that quantum computing can address real-world challenges on existing hardware—not only in typhoon forecasting, but also in finance, drug development, and other computation-intensive fields—paving the way for truly sustainable AI,” he said.
As a flagship global conference, IEEE QCE gathers leading experts from academia, industry, and government. CYCU noted that this recognition highlights both the success of Taiwan’s cross-institutional collaboration and the nation’s growing role in the global quantum technology race.
CYCU has long been committed to cultivating interdisciplinary talent and advancing frontier research in quantum information, demonstrating strong innovation capacity and reinforcing its impact on the international scientific stage.
