Quantum Information Science at ICEPP

ICEPP
publication

研究成果

Published papers

Experimentally probing entropy reduction via iterative quantum information transfer
Toshihiro Yada, Pieter-Jan Stas, Aziza Suleymanzade, Erik N Knall, Nobuyuki Yoshioka, Takahiro Sagawa, Mikhail D Lukin,
Physical Review X 15, 031054 (2025), arXiv:2411.06709.

Robust error accumulation suppression for quantum circuits
Tatsuki Odake, Philip Taranto, Nobuyuki Yoshioka, Toshinari Itoko, Kunal Sharma, Antonio Mezzacapo, Mio Murao,
Physical Review Research 7, 033029 (2025), arXiv:2401.16884.

Krylov diagonalization of large many-body Hamiltonians on a quantum processor
Nobuyuki Yoshioka, Mirko Amico, William Kirby, Petar Jurcevic, Arkopal Dutt, Bryce Fuller, Shelly Garion, Holger Haas, Ikko Hamamura, Alexander Ivrii, Ritajit Majumdar, Zlatko Minev, Mario Motta, Bibek Pokharel, Pedro Rivero, Kunal Sharma, Christopher J Wood, Ali Javadi-Abhari, Antonio Mezzacapo,
Nature Communications 16, 5014 (2025), arXiv:2407.14431.

Symmetric Clifford twirling for cost-optimal quantum error mitigation in early FTQC regime
Kento Tsubouchi, Yosuke Mitsuhashi, Kunal Sharma, Nobuyuki Yoshioka,
npj Quantum Information 11, 104 (2025),

Error crafting in mixed quantum gate synthesis
Nobuyuki Yoshioka, Seiseki Akibue, Hayata Morisaki, Kento Tsubouchi, Yasunari Suzuki,
npj Quantum Information 11, 95 (2025), arXiv:2405.15565.

Unitary Designs of Symmetric Local Random Circuits
Yosuke Mitsuhashi, Ryotaro Suzuki, Tomohiro Soejima, Nobuyuki Yoshioka,
Physical Review Letters 134, 180404 (2025), arXiv:2408.13472.

Characterization of randomness in quantum circuits of continuous gate sets
Yosuke Mitsuhashi, Ryotaro Suzuki, Tomohiro Soejima, Nobuyuki Yoshioka,
Physical Review A 111, 052409 (2025), arXiv:2408.13475.

Resource-efficient generalized quantum subspace expansion
Bo Yang, Nobuyuki Yoshioka, Hiroyuki Harada, Shigeo Hakkaku, Yuuki Tokunaga, Hideaki Hakoshima, Kaoru Yamamoto, Suguru Endo
Physical Review Applied 23, 054021 (2025), arXiv:2309.14171

Heisenberg-Limited Adaptive Gradient Estimation for Multiple Observables
Kaito Wada, Naoki Yamamoto, Nobuyuki Yoshioka,
PRX Quantum 6, 020308 (2025), arXiv:2406.03306.

Transition from the topological to the chaotic in the nonlinear Su–Schrieffer–Heeger model
Kazuki Sone, Motohiko Ezawa, Zongping Gong, Taro Sawada, Nobuyuki Yoshioka & Takahiro Sagawa, Nature Communications 16, 422 (2025), arXiv:2403.03038.

Faster Computation of nonstabilizerness, Hiroki Hamaguchi, Kou Hamada, Naoki Marumo, and Nobuyuki Yoshioka, Phys. Rev. Applied 23, 014069 (2025), arXiv:2406.16673.

Enforcing exact permutation and rotational symmetries in the application of quantum neural networks on point cloud datasets, Zhelun Li, Lento Nagano, and Koji Terashi, Phys. Rev. Res. 6, 043028 (2024), arXiv:2405.11150.

Shion Chen, Hajime Fukuda, Toshiaki Inada, Takeo Moroi, Tatsumi Nitta, and Thanaporn Sichanugrist, Phys. Rev. D 110, 115021 (2024), arXiv:2407.19755.

Search for QCD axion dark matter with transmon qubits and quantum circuit, Shion Chen, Hajime Fukuda, Toshiaki Inada, Takeo Moroi, Tatsumi Nitta, and Thanaporn Sichanugrist, Phys. Rev. D 110, 115021 (2024), arXiv:2407.19755.

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.