15 citations · 15 across the 1 of their papers we have counts for
3 papers
quant-ph2025
Quantum autoencoders for image classification
Hinako Asaoka, Kazue Kudo
Classical machine learning often struggles with complex, high-dimensional data. Quantum machine learning offers a potential solution, promising more efficient processing. The quant…
cond-mat.stat-mech2024
Collaborative filtering based on nonnegative/binary matrix factorization
Yukino Terui, Yuka Inoue, Yohei Hamakawa +2
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unra…
quant-ph2023★ 15 cited
Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing
Hinako Asaoka, Kazue Kudo
Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded…