• R. Toshio, K. Kishi, J. Fujisaki, H. Oshima, S. Sato, and K. Fujii
    “Decoder Switching: Breaking the Speed-Accuracy Tradeoff in Real-Time Quantum Error Correction”. arXiv:2510.25222
  • Y. Hirano, R. Toshio, T. Itogawa, and K. Fujii
    “Efficient magic state cultivation with lattice surgery”. arXiv:2510.24615
  • Y. Akahoshi, R. Toshio, J. Fujisaki, H. Oshima, S. Sato, and K. Fujii
    “Runtime reduction in lattice surgery utilizing time-like soft information”. arXiv:2510.21149
  • Y. Ibe, Y. Hirano, Y. Ozu, T. Kawakubo, and K. Fujii
    “Measurement-Based Fault-Tolerant Quantum Computation on High-Connectivity Devices: A Resource-Efficient Approach toward Early FTQC”. arXiv:2510.18652
  • H. Higuchi, Y. Ito, K. Sakamoto, K. Fujii, and A. Yoshikawa,
    “A Quantum Algorithm for Nonlinear Electromagnetic Fluid Dynamics via Koopman-von Neumann Linearization”. arXiv:2509.22503
  • J. Haruna and K. Fujii,
    “Hierarchical Quantum Error Correction with Hypergraph Product Code and Rotated Surface Code” Progress of Theoretical and Experimental Physics, ptaf130(2025). arXiv:2505.18592
  • Y. Mori, H. Hakoshima, and K. Fujii,
    “Nontrivial multi-product commutation relation for reducing T-count in sequential Pauli-based computation” arXiv:2509.20052
  • Y. Kawamata, K. Mitarai, and K. Fujii,
    “Quasi-Monte Carlo Method for Linear Combination Unitaries via Classical Post-Processing” arXiv:2509.14451
  • K. Sudo, K. Fujii, K. Hara, K. Ito, M. Tezuka, and Y. Yoshida,
    “Practical Quantum Public Key Encryption from One-way Functions” APKC '25: Proceedings of the 12th ACM ASIA Public-Key Cryptography Workshop, 44-53(2025).
  • A. Nakayama, K. Mitarai, L. Placidi, T. Sugimoto, and K. Fujii,
    “VQE-generated Quantum Circuit Dataset for Machine Learning” Phys. Rev. Res. 7(3), 033048(2025). arXiv:2302.09751
  • T. Itogawa, Y. Takada, Y. Hirano, and K. Fujii,
    “Efficient Magic State Distillation by Zero-level Distillation” PRX Quantum 6(2), 020356(2025). arXiv:2403.03991
  • Y. NakanoK. N. Okada, and K. Fujii,
    “Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm“
    arXiv:2506.01335
  • R. Toshio, Y. Akahoshi, J. Fujisaki, H. Oshima, S. Sato, and K. Fujii,
    “Practical quantum advantage on partially fault-tolerant quantum computer” Phys. Rev. X. 15(2), 021057(2025). arXiv:2408.14848
  • T. Kaneda, K. Fujii, and H. Ueda,
    “Large-Scale Quantum Device Benchmarking via LXEB with Particle-Number-Conserving Random Quantum Circuits” arXiv:2505.10820
  • K. Sakamoto and K. Fujii,
    “On the quantum computational complexity of classical linear dynamics with geometrically local interactions: Dequantization and universality” arXiv:2505.10445
  • Y. Mori, H. Hakoshima, K. Sudo, T. Mori, K. Mitarai, and K. Fujii,
    “Quantum Circuit Unoptimization” Phys. Rev. Res. 7(2), 023139(2025). arXiv:2311.03805
  • B. Zhao and K. Fujii,
    “Variational quantum Hamiltonian engineering”  Phys. Rev. Res. 7(2), 023123(2025)arXiv:2406.08998
  • Y. Hirano and K. Fujii,
    “Locality-aware Pauli-based computation for local magic state preparation” arXiv:2504.12091
  • K. Sakka, K. Mitarai, and K. Fujii,
    “Automating quantum feature map design via large language models” arXiv:2504.12091