3 papers
cs.CV2026
SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label Transition
Jun Zhuang, Mohammad Al Hasan, Yiyu Shi +1
Noisy-label learning in small-scale medical image classification is challenging and hinders the superiority of deep neural networks. Recent studies suggest that quantum neural netw…
quant-ph2026
Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
Jun Zhuang, Chaowen Guan
In the era of noisy intermediate-scale quantum (NISQ) computing, Quantum Neural Networks (QNNs) have emerged as a promising approach for various applications, yet their training is…
quant-ph2025
Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
Jun Zhuang, Jack Cunningham, Chaowen Guan
In the era of noisy intermediate-scale quantum (NISQ), variational quantum circuits (VQCs) have been widely applied in various domains, demonstrating the potential advantages of qu…