Variational Quantum Algorithms. - Marco Cerezo; Andrew Arrasmith; Ryan Babbush; Simon C. Benjamin; Suguru Endo; Keisuke Fujii 004; Jarrod R. McClean; Kosuke Mitarai; Xiao Yuan 002; Lukasz Cincio; Patrick J. Coles (CoRR, 2020)

Nonlinear transformation of complex amplitudes via quantum singular value transformation. - Naixu Guo; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2021)

Overhead for simulating a non-local channel with local channels by quasiprobability sampling. - Kosuke Mitarai; Keisuke Fujii 004 (Quantum, 2021)

Qulacs: a fast and versatile quantum circuit simulator for research purpose. - Yasunari Suzuki; Yoshiaki Kawase; Yuya Masumura; Yuria Hiraga; Masahiro Nakadai; Jiabao Chen; Ken M. Nakanishi; Kosuke Mitarai; Ryosuke Imai; Shiro Tamiya; Takahiro Yamamoto; Tennin Yan; et al. (Quantum, 2021)

Toward NMR Quantum Reservoir Computing. - Makoto Negoro; Kosuke Mitarai; Kohei Nakajima; Keisuke Fujii 004 (Reservoir Computing, 2021)

Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network. - Yoshiaki Kawase; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2022)

Computational power of one- and two-dimensional dual-unitary quantum circuits. - Ryotaro Suzuki; Kosuke Mitarai; Keisuke Fujii 004 (Quantum, 2022)

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era. - Leonardo Placidi; Ryuichiro Hataya; Toshio Mori; Koki Aoyama; Hayata Morisaki; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2023)

Continuous optimization by quantum adaptive distribution search. - Kohei Morimoto; Yusuke Takase; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2023)

Quantum Kernel t-Distributed Stochastic Neighbor Embedding. - Yoshiaki Kawase; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2023)

Perturbation theory with quantum signal processing. - Kosuke Mitarai; Kiichiro Toyoizumi; Wataru Mizukami (Quantum, 2023)

The cross-sectional stock return predictions via quantum neural network and tensor network. - Nozomu Kobayashi; Yoshiyuki Suimon; Koichi Miyamoto; Kosuke Mitarai (Quantum Mach. Intell., 2023)

End-to-end complexity for simulating the Schwinger model on quantum computers. - Kazuki Sakamoto; Hayata Morisaki; Junichi Haruna; Etsuko Itou; Keisuke Fujii 004; Kosuke Mitarai (Quantum, 2024)

Automating quantum feature map design via large language models. - Kenya Sakka; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2025)