Faster amplitude estimation. - Kouhei Nakaji (Quantum Inf. Comput., 2020)

Expressibility of the alternating layered ansatz for quantum computation. - Kouhei Nakaji; Naoki Yamamoto (Quantum, 2021)

Overfitting in quantum machine learning and entangling dropout. - Masahiro Kobayashi; Kouhei Nakaji; Naoki Yamamoto (Quantum Mach. Intell., 2022)

Fast quantum algorithm for differential equations. - Mohsen Bagherimehrab; Kouhei Nakaji; Nathan Wiebe; Alán Aspuru-Guzik (CoRR, 2023)

Measurement optimization of variational quantum simulation by classical shadow and derandomization. - Kouhei Nakaji; Suguru Endo; Yuichiro Matsuzaki; Hideaki Hakoshima (Quantum, 2023)

Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. - Yuichiro Mori; Kouhei Nakaji; Yuichiro Matsuzaki; Shiro Kawabata (Quantum Mach. Intell., 2024)

Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver. - Shunya Minami; Kouhei Nakaji; Yohichi Suzuki; Alán Aspuru-Guzik; Tadashi Kadowaki (CoRR, 2025)