Technical Name Innovative Hybrid Framework of Quantum-inspired Algorithms and Quantum Computing for Applications in Finance and Optimization Problems
Project Operator National Taiwan University, Chang Gung University
Project Host 郭斯彥
Summary
We integrate novel quantum-inspired algorithms with quantum computing, leveraging classical and quantum advantages to invent efficient optimization methods for complex problems. Applications span finance, industry, and quantum technologies, significantly reducing search time, enabling multiobjective models, and introducing visualization interfaces to enhance adoption in both academia and industry.
Scientific Breakthrough
We invent innovative quantum-inspired algorithms that deliver superior optimization with fewer resources for complex cross-domain problems and pioneer an efficient formula with the D-Wave quantum computer to accelerate computation, combining classical and quantum strengths into hybrid models recognized at leading international conferences and journals and advancing multidisciplinary applications.
Industrial Applicability
This technology applies to fintech, Industry 4.0, and quantum areas, including portfolio optimization to balance risk and return, optimizing aluminum extrusion parameters to improve quality, accelerating quantum and reversible circuit synthesis, and developing multiobjective models for diverse needs. A visualization interface lowers expertise barriers. Overall, it delivers real industrial value.
  • Contact
  • Shu-Yu Kuo