6 papers
QuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG
Hyojun Ahn, Emily Jimin Roh, Soohyun Park +3
Fidelity-based quantum retrieval ranks candidates by the fidelity between query and archive states. Applying a shared input-independent unitary after fixed state encoding leaves th…
Disentanglement with Holographic Reduced Representations
Jhonny J. Velasquez Olivera, Christo K. Thomas, Walid Saad
Disentanglement, the separation of factors of variation in data using neural networks, remains a long-standing challenge in machine learning. Prior work has addressed this problem…
QnRL: Quantum-Native Reinforcement Learning
Alexander DeRieux, Walid Saad
Quantum reinforcement learning (QRL) is a promising approach to learn effective decision strategies across several applications with stochastic environments. Instead of directly mo…
Rate-Distortion-Perception Theory for Semantic Communication
Jingxuan Chai, Yong Xiao, Guangming Shi +1
Semantic communication has attracted significant interest recently due to its capability to meet the fast growing demand on user-defined and human-oriented communication services s…
Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing
Huixiang Zhu, Yong Xiao, Yingyu Li +2
Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. However,…
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing
Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui +4
An adaptive standardized protocol is essential for addressing inter-slice resource contention and conflict in network slicing. Traditional protocol standardization is a cumbersome…