Chung Yuan Christian University (CYCU) hosted the 2026 Training Program on Quantum Computing and its Advanced Applications from July 27 to 30, welcoming five faculty members from the Technological Institute of the Philippines (TIP) for a four-day professional training program on quantum computing.
Organized by the CYCU Center for Quantum Information, the program focused on quantum computing, quantum machine learning, and intelligent energy applications. Through expert lectures, model development, and hands-on programming sessions, participants explored how quantum technologies can be applied to energy forecasting and power system optimization, while strengthening their practical expertise and fostering international collaboration in quantum education.
The program opened with a keynote lecture by Chair Professor Ching-Ray Chang, Director of the CYCU Center for Quantum Information. Introducing the evolution and emerging trends of quantum technologies, Professor Chang guided participants through the fundamental concepts of quantum computing and highlighted its growing potential in complex optimization, artificial intelligence, and interdisciplinary research. His presentation laid a solid foundation for the practical training sessions that followed.
The training program was led by Professor Chih-Yu Chen of CYCU’s Bachelor’s Program in Intelligent Computing and Big Data, Professor Tsung-Wei Huang of the Master’s Program in Intelligent Computing and Big Data, and Cheng-Wei Su, Research Assistant at the Center for Quantum Information. Participants learned how to formulate energy optimization problems by incorporating system costs, demand forecasts, and operational constraints into computational models before translating them into mathematical forms suitable for quantum algorithms.
The curriculum covered simulated annealing, digital annealing, and quantum-inspired optimization methods, enabling participants to compare the strengths and limitations of different approaches for solving energy optimization challenges. Faculty members also gained hands-on experience with the Quantum Approximate Optimization Algorithm (QAOA), using tools such as Python, IBM Qiskit, and NVIDIA CUDA-Q to convert QUBO models into quantum circuits.
In addition, the program introduced quantum machine learning techniques, including quantum regression and classification. Participants applied historical load data to forecast future energy demand and evaluated the performance of quantum-enhanced models against conventional machine learning methods in terms of computational efficiency, energy costs, and constraint satisfaction.
CYCU noted that the program integrated quantum algorithms, artificial intelligence, and smart energy applications through a combination of lectures and practical training, equipping international faculty with both theoretical knowledge and hands-on experience in quantum computing. The initiative also reflects the University’s commitment to advancing quantum technology education while strengthening academic collaboration with the Technological Institute of the Philippines, laying the groundwork for future partnerships in quantum technologies, intelligent computing, and interdisciplinary talent development.
