3 citations · 6 across the 14 of their papers we have counts for
4 papers · 1 filter
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey +3
Quantum machine learning (QML) has emerged as a promising direction in the noisy intermediate-scale quantum (NISQ) era, offering computational and memory advantages by harnessing s…
-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
Hoang-Quan Nguyen, Xuan Bac Nguyen, Sankalp Pandey +4
Characterizing quantum flakes is a critical step in quantum hardware engineering because the quality of these flakes directly influences qubit performance. Although computer vision…
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
James B. Holliday, Darren Blount, Hoang Quan Nguyen +2
Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its near-term limitations necessitate hybrid approaches blending classical a…
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
Thanh-Dat Truong, Hoang-Quan Nguyen, Xuan-Bac Nguyen +3
Multimodal conversational generative AI has shown impressive capabilities in various vision and language understanding through learning massive text-image data. However, current co…