4 papers · 1 filter
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…
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.…