3 citations · 5 across the 5 of their papers we have counts for
5 papers
The inherent convolution property of quantum neural networks
Guangkai Qu, Zhimin Wang, Guoqiang Zhong +1
Quantum neural networks (QNNs) represent a pioneering intersection of quantum computing and deep learning. In this study, we unveil a fundamental convolution property inherent to Q…
GAN decoder on a quantum toric code for noise-robust quantum teleportation
Jiaxin Li, Zhimin Wang, Alberto Ferrara +2
We propose a generative adversarial network (GAN)-based decoder for quantum topological codes and apply it to enhance a quantum teleportation protocol under depolarizing noise. By…
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…