1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Quantum Incremental Learning with Mixed State Prototypes
Yu Wu, Qianli Zhou, Xinyang Deng +3
Incremental learning models are required to learn new classes sequentially without catastrophic forgetting, while operating under parameter and memory constraints. In the Noisy Int…
quant-ph2026★ 1 cited
Feature Entanglement-based Quantum Multimodal Fusion Neural Network
Yu Wu, Qianli Zhou, Jie Geng +2
Multimodal learning aims to enhance perceptual and decision-making capabilities by integrating information from diverse sources. However, classical deep learning approaches face a…