Quantum Information Science at ICEPP

ICEPP
publication

研究成果

Published papers

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.