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Events

 

Asia University’s AI and Quantum Research Center (AIQRC), launched on Sep. 10, 2025
Instagram - AIQRC


​​​Time/Place:  Nov. 13-14, 2025, Asia University
Title: INTERNATIONAL SYMPOSIUM ON QUANTUM AI & THE FUTURE OF LIFE

Speakers: TBA

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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.