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20062023
most citedQuantum data compression by principal component analysis

84 citations · 234 across the 11 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

quant-ph2021★ 6 cited

Authenticated Multiparty Quantum Key Agreement for Optical-Ring Quantum Communication Networks

Li-Zhen Gao, Xin Zhang, Song Lin +2

Quantum communication networks are connected by various devices to achieve communication or distributed computing for users in remote locations. In order to solve the problem of ge…

quant-ph2021★ 19 cited

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…

quant-ph2021

Quantum Algorithms for Prediction Based on Ridge Regression

Menghan Chen, Chaohua Yu, Gongde Guo +1

We propose a quantum algorithm based on ridge regression model, which get the optimal fitting parameters w and a regularization hyperparameter α by analysing the training dataset.…

quant-ph2021★ 15 cited

Multi-party quantum key agreement protocol with authentication

Yiting Wu, Hong Chang, Gongde Guo +1

Utilizing the advantage of quantum entanglement swapping, a multi-party quantum key agreement protocol with authentication is proposed. In this protocol, a semi-trusted third party…

quant-ph2021★ 31 cited

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…

quant-ph2021★ 78 cited

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…