4 citations · 8 across the 4 of their papers we have counts for
4 papers
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…
Binary Complex Neural Network Acceleration on FPGA
Hongwu Peng, Shanglin Zhou, Scott Weitze +9
Being able to learn from complex data with phase information is imperative for many signal processing applications. Today' s real-valued deep neural networks (DNNs) have shown effi…