9 citations · 14 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
Hybrid quantum-classical convolutional neural network for phytoplankton classification
Shangshang Shi, Zhimin Wang, Ruimin Shang +4
The taxonomic composition and abundance of phytoplankton, having direct impact on marine ecosystem dynamic and global environment change, are listed as essential ocean variables. P…
Quantum Recurrent Neural Networks for Sequential Learning
Yanan Li, Zhimin Wang, Rongbing Han +6
Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against cla…
Black-Box Quantum State Preparation with Inverse Coefficients
Shengbin Wang, Zhimin Wang, Runhong He +8
Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms, which is applied to transduce the data from computational basis into a…