SS-L6.4
HOW CAN QUANTUM DEEP LEARNING IMPROVE LARGE LANGUAGE MODELS?
Emily Jimin Roh, Hyojun Ahn, Korea University, Korea, Republic of; Samuel Yen-Chi Chen, Wells Fargo, United States of America; Soohyun Park, Sookmyung Women's University, Korea, Republic of; Joongheon Kim, Korea University, Korea, Republic of
Session:
SS-L6: Quantum Machine Learning Algorithms and Applications on NISQ Devices Oral
Track:
Special Sessions
Location:
Room 111
Presentation Time:
Wed, 6 May, 15:00 - 15:20
Presentation
Discussion
Resources
No resources available.
Session SS-L6
SS-L6.1: Q4Q: Quantum for Quantization in Large Language Models
GongWei Li, YuChen Li, JunCheng Jia, Tao Deng, YiRu Tao, SooChow University, China
SS-L6.2: DiffQ: UNIFIED PARAMETER INITIALIZATION FOR VARIATIONAL QUANTUM ALGORITHMS VIA DIFFUSION MODELS
Chi Zhang, Indiana University, United States of America; Mengxin Zheng, Qian Lou, University of Central Florida, United States of America; Fan Chen, Indiana University, United States of America
SS-L6.3: QUANTUM-INSPIRED FREQUENCY ATTENUATION FOR ENHANCED TARGETED FABRICATION ATTACKS IN OBJECT DETECTION
Haoliang Han, Qi Song, Jun Qi, Renjie Wan, Hong Kong Baptist University, Hong Kong
SS-L6.4: HOW CAN QUANTUM DEEP LEARNING IMPROVE LARGE LANGUAGE MODELS?
Emily Jimin Roh, Hyojun Ahn, Korea University, Korea, Republic of; Samuel Yen-Chi Chen, Wells Fargo, United States of America; Soohyun Park, Sookmyung Women's University, Korea, Republic of; Joongheon Kim, Korea University, Korea, Republic of
SS-L6.5: Securing INR-Based Steganography with Quantum Circuit-driven Weight Initialization
QI Song, Haoliang Han, Ziyuan Luo, Jun Qi, Renjie Wan, Hong Kong Baptist University, Hong Kong
SS-L6.6: Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
Chi-Sheng Chen, Independent Researcher, United States of America; En-Jui Kuo, National Yang Ming Chiao Tung University, Taiwan
Contacts