3 papers
quant-ph2025
Classical and quantum kernel fusion for two-sample testing
Yu Terada, Yugo Ogio, Ken Arai +2
Two-sample tests have been extensively employed in various scientific fields and machine learning to discriminate whether two sets of samples come from the same distribution or not…
quant-ph2025
Quantum-enhanced causal discovery for a small number of samples
Yu Terada, Ken Arai, Yu Tanaka +3
The discovery of causal relations from observed data has attracted significant interest from disciplines such as economics, social sciences, and biology. In practical applications,…
quant-ph2023
Estimation of mutual information via quantum kernel method
Yota Maeda, Hideaki Kawaguchi, Hiroyuki Tezuka
Recently, the importance of analysing data and collecting valuable insight efficiently has been increasing in various fields. Estimating mutual information (MI) plays a critical ro…