78 citations · 128 across the 6 of their papers we have counts for
6 papers
Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous Data
Kai Yu, Binbin Cai, Song Lin
Distributed quantum machine learning faces significant challenges due to heterogeneous client data and variations in local model structures, which hinder global model aggregation.…
Quantum Graph Convolutional Networks Based on Spectral Methods
Zi Ye, Kai Yu, Song Lin
Graph Convolutional Networks (GCNs) are specialized neural networks for feature extraction from graph-structured data. In contrast to traditional convolutional networks, GCNs offer…
Quantum Convolutional Neural Network with Flexible Stride
Kai Yu, Song Lin, Bin-Bin Cai
Convolutional neural network is a crucial tool for machine learning, especially in the field of computer vision. Its unique structure and characteristics provide significant advant…
Quantum Gaussian process regression
Menghan Chen, Gongde Guo, Song Lin +1
In this paper, a quantum algorithm based on gaussian process regression model is proposed. The proposed quantum algorithm consists of three sub-algorithms. One is the first quantum…
Quantum Dimensionality Reduction by Linear Discriminant Analysis
Kai Yu, Gong-De Guo, Song Lin
Dimensionality reduction (DR) of data is a crucial issue for many machine learning tasks, such as pattern recognition and data classification. In this paper, we present a quantum a…
Quantum K-nearest neighbor classification algorithm based on Hamming distance
Jing Li, Song Lin, Yu Kai +1
K-nearest neighbor classification algorithm is one of the most basic algorithms in machine learning, which determines the sample's category by the similarity between samples. In th…