https://scholars.lib.cycu.edu.tw/handle/123456789/7971| 標題: | Quantum -Inspired Acceleration for Image Reconstruction on Ising Machines | 作者: | Chang, Yen-Jui Chen, Hao-Yuan Lu, Ying Chang Yu, Lien-Po Fu, Chao-Ming Chang,Ching-Ray |
關鍵字: | Quantum-inspired;Generative AI;Restricted Boltzmann Machines;Ising machines;Image reconstruction | 公開日期: | 2024 | 出版社: | IEEE COMPUTER SOC | 起(迄)頁: | 547-548 | 來源出版物: | 2024 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING, QCE, VOL 2 | 會議論文: | 2024 International Conference on Quantum Computing and Engineering | 摘要: | The study investigates a quantum -inspired approach to image reconstruction using Ising machines and demonstrates its significant improvements over the contrastive divergence method in Restricted Boltzmann Machines training and the quality of image reconstruction on the MINST digits and fashion datasets. |
URI: | https://scholars.lib.cycu.edu.tw/handle/123456789/7971 | DOI: | 10.1109/QCE60285.2024.10398 |
| Appears in Collections: | 智慧運算與大數據碩士學位學程 |
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