Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data. - Koki Chinzei; Quoc-Hoan Tran; Kazunori Maruyama; Hirotaka Oshima; Shintaro Sato (CoRR, 2023)

Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks. - Koki Chinzei; Shinichiro Yamano; Quoc-Hoan Tran; Yasuhiro Endo; Hirotaka Oshima (CoRR, 2024)

Resource-efficient equivariant quantum convolutional neural networks. - Koki Chinzei; Quoc-Hoan Tran; Yasuhiro Endo; Hirotaka Oshima (CoRR, 2024)

Iterative Quantum Feature Maps. - Nasa Matsumoto; Quoc-Hoan Tran; Koki Chinzei; Yasuhiro Endo; Hirotaka Oshima (CoRR, 2025)