78 citations · 152 across the 9 of their papers we have counts for
9 papers
Exponential quantum space advantage for Shannon entropy estimation in data streams
Weijun Feng, Yongzhen Xu, Lvzhou Li +2
Near-term quantum devices with limited qubits motivate the study of space-bounded quantum computation in the data stream model. We show that Shannon entropy estimation exhibits an…
Manifold Learning for Dimensionality Reduction: Quantum Isomap algorithm
WeiJun Feng, GongDe Guo, Kai Yu +2
Isomap algorithm is a representative manifold learning algorithm. The algorithm simplifies the data analysis process and is widely used in neuroimaging, spectral analysis and other…
Quantum Federated Learning for Distributed Quantum Networks
Kai Yu, Fei Gao, Song Lin
Federated learning is a framework that can learn from distributed networks. It attempts to build a global model based on virtual fusion data without sharing the actual data. Nevert…
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…
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 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.…
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…
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…