 
See event details for additional info.
Everyone
| DATE | 2024-11-04 | 
|  | |
| TIME | 12:10-13:10 | 
|  | |
| PLACE | R36173, 1F, Dept. of Physics, Building of Science College, NCKU | 
|  | |
| FIELD | Quantum Information Science | 
|  | |
| SPEAKER | Prof. Jehn-Ruey Jiang - Department of Computer Science and Information Engineering, NCU | 
|  | |
| TITLE | GPU and Quantum-inspired Annealer Based on GPU | 
|  | |
| ABSTRACT | In this talk, I will first introduce the concept of the graphics processing unit (GPU). Next, I will introduce a GPU annealer (GPUA), a quantum-inspired annealer based on the GPU. This annealer utilizes diverse adaptive bulk search (DABS) to find the optimal solution to combinatorial optimization problems (COPs). DABS is essentially a genetic algorithm offering eight genetic operations and five local search algorithms to enhance annealer performance. At the end of the talk, I will present benchmark comparisions among a quantum annealer (QA), a digital annealer (DA), and a GPUA. | 
|  | |