3 citations · 4 across the 3 of their papers we have counts for
3 papers
quant-ph2026
Defeating Barren Plateaus with Task-Aligned Symmetry
Ruipeng Xing, Yanan Li, Zhen Shang +3
Barren plateaus -- the exponential vanishing of gradients -- are a fundamental obstacle to training scalable quantum neural networks. Whether they arise in quantum recurrent neural…
eess.SY2023★ 1 cited
Real-Time Progressive Learning: Accumulate Knowledge from Control with Neural-Network-Based Selective Memory
Yiming Fei, Jiangang Li, Yanan Li
Memory, as the basis of learning, determines the storage, update and forgetting of knowledge and further determines the efficiency of learning. Featured with the mechanism of memor…
quant-ph2023★ 3 cited
A natural NISQ model of quantum self-attention mechanism
Shangshang Shi, Zhimin Wang, Jiaxin Li +5
The self-attention mechanism (SAM) has demonstrated remarkable success in various applications. However, training SAM on classical computers becomes computationally challenging as…