• R. SuzukiK. Mitarai, and K. Fujii,
    “Computational power of one- and two-dimensional dual-unitary quantum circuits” arXiv:2103.09211
  • K. Mitarai and K. Fujii,
    “Constructing a virtual two-qubit gate by sampling single-qubit operations” New Journal of Physics 23, 023021 (2020). arXiv:1909.07534
  • K. Mitarai and K. Fujii,
    “Overhead for simulating a non-local channel with local channels by quasiprobability sampling” Quantum 5, 388 (2020)arXiv:2006.11174v2
  • K. Endo, T. Nakamura, K. Fujii, and N. Yamamoto,
    “Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler ” Phys. Rev. Research 2, 043442 (2020)arXiv:2005.14075
  • N. Yoshioka, Y. O. Nakagawa, K. Mitarai, and K. Fujii,
    “Variational quantum algorithm for nonequilibrium steady states” Phys. Rev. Research 2, 043289 (2020)arXiv:1908.09836
  • Y. Suzuki, Y. Kawase, Y. Masumura, Y. Hiraga, M. Nakadai, J. Chen, K. M. Nakanishi, K. Mitarai, R. Imai, S. Tamiya, T. Yamamoto, T. Yan, T. Kawakubo, Y. O. Nakagawa, Y. Ibe, Y. Zhang, H. Yamashita, H. Yoshimura, A. Hayashi, and K. Fujii,
    “Qulacs: a fast and versatile quantum circuit simulator for research purpose” arXiv:2011.13524
  • K. Mitarai, Y. Suzuki, W. Mizukami, Y. O. Nakagawa, and K. Fujii,
    “Quadratic Clifford expansion for efficient benchmarking and initialization of variational quantum algorithms” arXiv:2011.09927
  • K. M. Nakanishi, K. Fujii, and S. Todo,
    “Sequential minimal optimization for quantum-classical hybrid algorithms” Phys. Rev. Research 2, 043158 (2020)arXiv:1903.12166
  • A. Davaasuren, Y. SuzukiK. Fujii, and M. Koashi,
    “General framework for constructing fast and near-optimal machine-learning-based decoder of the topological stabilizer codes”  Phys. Rev. Research 2, 033399 (2020)arXiv:1801.04377
  • A. Kutvonen, T. Sagawa, and K. Fujii,
    “Optimizing a quantum reservoir computer for time series prediction” Scientific Reports 10,14687 (2020)arXiv:1807.03947
  • K. Mitarai and K. Fujii,
    “Overhead of the non-local-to-local channel decomposition by quasiprobability sampling” arXiv:2006.11174
  • K. Endo, T. Nakamura, K. Fujii, and N. Yamamoto,
    “Quantum self-learning Monte Carlo with quantum Fourier transform sampler” arXiv:2005.14075