4 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
quant-ph2023
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…
cs.LG2021★ 4 cited
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…