演講者：舒宇宸教授
              國立成功大學數學系

日   期：2024 年 12 月 18 日（星期三）14:00

地   點：國立高雄大學理學院 408 室

講   題：Comparison Study for Solving Quadratic Unconstrained Binary Optimization by Classical and Digital Annealer

摘   要：
     In this talk, I will delve into the combinatorial optimization problems formulated in the quadratic unconstrained binary optimization (QUBO) framework and solve them by the classical and digital annealers. I will present a comparative analysis of digital annealers versus traditional annealers, focusing on their performance across a range of classical NP-hard problems. Additionally, I will show some recent results for the one-way-one-hot constraint, highlight several applications where digital annealers have been successfully employed, showcasing the significant results achieved.