Wednesday, June 10, 2026

Time: 16:10-17:00

venue: Mathematics Building Room 527

Speaker: Prof. Yu Chen Shu (Department of Mathematics, National Cheng Kung University)

Title: Solving Quadratic Unconstrained Binary Optimization by Digital and Annealers with AI

Abstract:

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 digital and GPU 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 about the AI predictions for QUBO initialization.