News & Events
Events
Time/Place: June 29 - 30, 2026, Asia University
Title: INTERNATIONAL SYMPOSIUM ON QUANTUM AI & THE FUTURE OF LIFE (ISQAI_FoL)
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Time/Place: March 16 - 19, 2026, USA
From March 16 to 19, 2026, Asia University’s AIQRC is actively advancing its forward-looking strategy. President Jeffrey J. P. Tsai, Honorary Chairman of AIQRC and Chair Professor, K.T. Huang, Director of AIQRC, recently led a delegation to the United States to visit quantum technology firm Rigetti Computing, where they were hosted by Vice President Mike Piech.
Time/Place: March 16 - 19, 2026, USA
From March 16 to 19, President Jeffrey J. P. Tsai, Honorary Chairman of AIQRC (second from the right in the photo), led teams in quantum AI, robotics, and intelligent healthcare to Silicon Valley to attend NVIDIA GTC 2026, the world’s premier annual AI conference, and engage with the global AI and semiconductor ecosystem. Tsai emphasized that the visit aimed not only to track cutting-edge technologies, but also to mark a major milestone in advancing Asia University’s AI University vision and international collaboration strategy.
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Time: Feb. 2026
We recently secured approval for five Ministry of Education–funded programs in Taiwan, creating valuable learning pathways for young people. These programs support international exchange and advanced training at globally recognized universities, helping students build interdisciplinary knowledge, research skills, and global perspectives in fields such as artificial intelligence, quantum computing, biomedical science, systems medicine, and robotics.
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Time/Place: Feb. 5, 2026, Asia University
Title: INTERNATIONAL SYMPOSIUM ON HUMANOID ROBOTICS AND SOVEREIGN AI FOR FUTURE LIVING (ISHR_SAI)
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Asia University’s AI and Quantum Research Center (AIQRC), launched on Sep. 10, 2025
Instagram - AIQRC
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Time/Place: Nov. 13-14, 2025, Asia University
Title: International Symposium on Quantum AI & the Future of Human Advancement (ISQAI_FHA)
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Time/Place: Oct. 21, 2025, 10 am, Room M003, Asia University, Taiwan Title: Building robust, reliable, and reproducible bioinformatics pipelines for medical research Speaker: Dr. Wei-Hung Pan, Senior Data Scientist at Silence Therapeutics, Berlin, Germany
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Time/Place: Oct. 20, 2025, 15 pm, Room A101, Asia University
Title: Quantum meet AI: The Rise of a New Civilization
Speaker: Chair Professor Ching-Ray Chang, Director, Chung Yuan Christian University Quantum Information Center and National Taiwan University, Taiwan
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Time/Place: Oct. 17, 2025, begin at 14:00 pm, Room A115 & A110, Asia University
Title: Introduction to the AI and Quantum Research Center (AIQRC)
Speaker: Vice Director & Distinguish Professor Ka-Lok Ng, QAIRC
Visitors: FPT University, Vietnam
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Time/Place: Oct. 13 - 15, 2025, Splendor Hotel, Taichung
Title: 2025 Second International Conference on Artificial Intelligence for Medicine, Health, and Care (AIxMHC)
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Time/Place: Sep. 25, 2025, 13:10 -14:00 pm, Room i221, Asia University
Title: Fundamentals of Quantum Computing
Speaker: Vice Director & Distinguish Professor Ka-Lok Ng, AIQRC
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Biography
Mr. Anandu Madhu is a PhD student in the Department of Physics at National Tsing Hua University, working in R.K. Lee’s Quantum Optics Group. His research interests include Quantum Walks, Quantum Algorithms, Optimization Problems, and Quantum Error Correction. He has participated in several hackathons conducted by IBM Quantum Hub at NTU and won prizes. Recently, he published a research article in the journal Heliyon with the title "Quantum Walk Processes in Quantum Devices."
Abstract
Simulation and programming of current quantum computers as Noisy Intermediate-Scale Quantum (NISQ) devices represent a hot topic at the border of current physical and information sciences. The quantum walk process represents a basic subroutine in many quantum algorithms and plays an important role in studying physical phenomena. Simulating quantum walk processes is computationally challenging for classical processors. With an increasing improvement in qubits fidelity and qubits number in a single register, there is a potential to improve quantum walks simulations substantially. However, efficient ways to simulate quantum walks in qubit registers still have to be explored. Here, we explore the relationship between quantum walk on graphs and quantum circuits. Firstly, we discuss ways to obtain graphs provided quantum circuit. We then explore techniques to represent quantum walk on a graph as a quantum circuit. Specifically, we study hypercube graphs and arbitrary graphs. Our approach to studying the relationship between graphs and quantum circuits paves way for the efficient implementation of quantum walks algorithms on quantum computers.
