Published papers

Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group, Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Lento Nagano, Koji Terashi et al., PRX Quantum 5, 037001 (2024),  arXiv:2307.03236.

Quantum Enhancement in Dark Matter Detection with Quantum Computation, Shion Chen, Hajime Fukuda, Toshiaki Inada, Takeo Moroi, Tatsumi Nitta, and Thanaporn Sichanugrist, Phys. Rev. Lett. 133 021801 (2024), arXiv:2311.10413.

Quantum data learning for quantum simulations in high-energy physics, Lento Nagano, Alexander Miessen, Tamiya Onodera, Ivano Tavernelli, Francesco Tacchino, Koji Terashi, Phys. Rev. Res. 5 (2023) 4, 043250, arXiv:2306.17214.

Detection of hidden photon dark matter using the direct excitation of transmon qubits, Shion Chen, Hajime Fukuda, Toshiaki Inada, Takeo Moroi, Tatsumi Nitta, Thanaporn Sichanugrist, Phys. Rev. Lett. 131 211001 (2023), arXiv:2212.03884.

Quench dynamics of the Schwinger model via variational quantum algorithms, Lento Nagano, Aniruddha Bapat, and Christian W. Bauer, Phys. Rev. D 108, 034501 (2023), arXiv:2302.10933.

Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer, Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin Nachman, Yutaro Iiyama, Ryunosuke Okubo, Ryu Sawada, Quantum 6, 798 (2022), arXiv:2209.02322.

Quantum Computing Applications in Future Colliders, Heather M. Gray and Koji Terashi, Front. in Phys. 10, 864823 (2022).

Classically emulated digital quantum simulation for screening and confinement in the Schwinger model with a topological term, Masazumi Honda, Etsuko Itou, Yuta Kikuchi, Lento Nagano, Takuya Okuda, Phys. Rev. D 105, 014504 (2022), arXiv:2105.03276.

Event Classification with Quantum Machine Learning in High-Energy Physics, K. Terashi, M. Kaneda, T. Kishimoto, M. Saito, R. Sawada, J. Tanaka, Comput. Softw. Big Sci. 5, 2 (2021), arXiv:2002.09935.

Quantum Machine Learning in High Energy Physics, Wen Guan, Gabriel Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, Jean-Roch Vlimant, Mach. Learn.: Sci. Technol. 2, 011003 (2021), arXiv:2005.08582.