Extensional Knowledge Representation for Quantum Monte Carlo Analysis: A Design Science Approach
HKUST IEMS Thought Leadership Brief No. 94
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Quantum computing is difficult to understand because its concepts are abstract and rely on advanced knowledge of mathematics and physics. The study finds that conversion from classical contextual knowledge toward extensional representation is the most effective for decision makers. Firms already understand classical solutions, and this knowledge can help them see the potential of quantum counterparts. To facilitate this, we develop a conversion artifact that can convert contextual classical algorithms toward quantum ones. This enables organizations to better evaluate the potentials of quantum computing in a focused, evidence-based manner thereby improving decision-making.
About the author
Siyuan (Bruce) Jin is a PhD Candidate in HKUST Information Systems (IS) Department, supervised by Prof. Kar Yan Tam. He received the China National Scholarship in 2020, the Hong Kong PhD Fellowship (HKPFS) award in 2024. He mainly focuses on blockchain, quantum computing and their business implications. His papers have been accepted by top IS conferences, including the International Conference on Information Systems (ICIS) and the Conference on Information Systems and Technology (CIST).
Kar Yan Tam is Vice-President for Administration and Business and Chair Professor of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology (HKUST). Prof Tam is known for his contributions in information systems and the diffusion of innovations in organizations. According to Google Scholar, his publications have received over 23,000 citations. Prof Tam is currently serving on the editorial board of a number of academic journals. Prof Tam also plays an active role in public services. He is a member of the Hong Kong Exchange Fund Advisory Committee of the Hong Kong Monetary Authority and the Chairperson of the Hong Kong Committee for the Pacific Economic Collaboration.
Qiming Shao, Assistant Professor at HKUST's Department of Electronic & Computer Engineering, specializes in spintronics, MRAM, quantum devices, and efficient AI systems. His research focuses on energy-efficient hardware using spintronic and quantum materials, with publications in top journals including Nature Nanotechnology, Nature Electronics, Nature Communications, Nano Letters, and International Electron Device Meeting (IEDM). He has received prestigious awards, including the IEEE Magnetics Society Early Career Award, and actively contributes to IEEE leadership and international conferences.
Yuhan Huang is a PhD student in Electronic and Computer Engineering at the Hong Kong University of Science and Technology. Yuhan's research interests include quantum computing, quantum simulation, and quantum finance. She is particularly focused on advancing the applications of quantum algorithms in finance and exploring novel quantum computing techniques. Yuhan has published her work in quantum journals, such as Physical Review A (PRA), Physical Review Research (PRR), Science China Physics, Mechanics & Astronomy, and Science China Information Sciences.
Dr. Yong Xia is currently Chief Architect for Wealth and Personal Banking at HSBC. He is also one of the five Council Members at International Requirements Engineering Board. Before that, he was Global Head of HSBC Lab, Chief Architect for Asia Pacific and Chief Architect for China at HSBC, a member of IBM Academy of Technology and a Senior Certified Consultant (at the Thought Leader level) at IBM, a Visiting Professor at Fudan University and South China University of Technology, an Enterprise Ph.D. Supervisor at Shanghai Jiao Tong University, a Board Director of Corda Network Foundation and a Lead Architect at Credit Suisse.
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