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As quantum computing continues to evolve from laboratory research toward real-world industrial applications, Feng Chia University invited Professor Chia-Ho Ou, Dean of the College of Computer Science at National Pingtung University, to deliver a keynote lecture titled “Toward Practical Quantum Optimization: Insights from Multi-Disciplinary Domains” on April 30. The lecture explored how quantum technologies can be applied to complex optimization problems and highlighted interdisciplinary research and industrial case studies.
The event was jointly organized by the Office of Technology Development and the Quantum Technology Faculty Learning Community. According to Chun-Ming Chiang, Distinguished Professor of the Department of Photonics, who serves as convener of the community, the lecture series aims to introduce emerging trends in quantum technology, foster interdisciplinary exchange among faculty members, and strengthen FCU’s research and teaching capabilities in quantum science and technology.
From Theory to Practice: Applying Quantum Computing to Real-World Optimization
Professor Ou explained that many industries face highly complex optimization challenges, such as the Traveling Salesman Problem (TSP) in logistics and delivery systems, as well as workforce scheduling and resource allocation in enterprises. These challenges can often be formulated as Quadratic Unconstrained Binary Optimization (QUBO) models.
Once represented in QUBO form, such problems can be addressed using quantum computing techniques, particularly the Quantum Approximate Optimization Algorithm (QAOA) and quantum annealing, which offer promising approaches for solving optimization tasks that are difficult for conventional computers to handle efficiently.
Overcoming Current Hardware Constraints: Digital Quantum Computing as a Practical Solution
While quantum computing offers tremendous potential, Professor Ou noted that current quantum hardware remains constrained by the number and stability of available qubits. When dealing with highly complex, large-scale real-world problems, both physical quantum computers and some simulation environments may still encounter computational bottlenecks.
To address these limitations, he introduced a practical alternative currently being developed by companies such as Compal and Fujitsu: Digital Annealer technology. By digitally simulating quantum-inspired optimization processes, Digital Annealers can effectively solve large-scale optimization problems while maintaining computational efficiency and practical usability.
Quantum Optimization Remains Promising
Professor Ou emphasized that despite the transitional stage of quantum hardware development, quantum annealing and quantum optimization methods already demonstrate significant advantages over many traditional optimization algorithms when searching for near-optimal solutions.
As both quantum algorithms and hardware continue to advance, interdisciplinary optimization applications are expected to become one of the earliest and most impactful areas of practical quantum computing deployment.
The lecture was held in the 5G Laboratory on the 8th floor of the Aerospace and Systems Engineering Building, attracting enthusiastic participation from faculty members and students. The lively discussions highlighted growing academic interest in the integration of quantum information technologies with industrial applications and further strengthened interdisciplinary collaboration at Feng Chia University.
Bing-Jean Lee, Distinguished Chair Professor, and Chun-Ming Chiang (left), Distinguished Professor of the Department of Photonics, presented a certificate of appreciation and commemorative gift to Professor Chia-Ho Ou (center) in recognition of his insightful lecture.
The lecture was held in the 5G Laboratory on the eighth floor of the Aerospace and Systems Engineering Building and attracted enthusiastic participation from faculty members and students.
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