4 papers
A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
Andi Chen
It is challenging to reduce the complexity of neural networks while maintaining their generalization ability and robustness, especially for practical applications. Conventional sol…
Quantum Sparse Coding and Decoding Based on Quantum Network
Xun Ji, Qin Liu, Shang Huang +2
Sparse coding provides a versatile framework for efficiently capturing and representing crucial data (information) concisely, which plays an essential role in various computer scie…
Image Compression and Reconstruction Based on Quantum Network
Xun Ji, Qin Liu, Shan Huang +2
Quantum network is an emerging type of network structure that leverages the principles of quantum mechanics to transmit and process information. Compared with classical data recons…
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition
Andi Chen, Hua-Lei Yin, Zeng-Bing Chen +1
In this paper, we propose two hybrid quantum-inspired neural networks with adaptive residual and dense connections respectively for pattern recognition. We explain the frameworks o…