78 citations · 152 across the 9 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
quant-ph2022
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…
quant-ph2022★ 3 cited
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…