Computational Physics
Publications: 2023
  1.  H. De Raedt, M.I. Katsnelson, M.S. Jattana, V. Mehta, M. Willsch, D. Willsch, K. Michielsen, and F. Jin,
    "Einstein–Podolsky–Rosen-Bohm experiments: A discrete data driven approach",
    Ann. Phys. 453, 169314 (2023)
    PDF, with corrections: PDF
  2.  H. De Raedt, M.I. Katsnelson, M.S. Jattana, V. Mehta, M. Willsch, D. Willsch, K. Michielsen, and F. Jin,
    "Model-free inequality for data of Einstein-Podolsky-Rosen-Bohm experiments",
    arXiv.2302.01805 (2023)
    PDF
  3.  M.S. Jattana, F. Jin, H. De Raedt, and K. Michielsen,
    "Improved Variational Quantum Eigensolver Via Quasidynamical Evolution",
    Phys. Rev. Applied 19, 024047 (2023)
    PDF
  4.  H. Lagemann, D. Willsch, M. Willsch, F. Jin, H. De Raedt, and K. Michielsen,
    "Fragility of gate-error metrics in simulation models of flux-tunable transmon quantum computers",
    Phys. Rev. A 108, 022604 (2023)
    PDF
  5.  D. Willsch, M. Willsch, F. Jin, H. De Raedt, and K. Michielsen,
    "Large-Scale Simulation of Shor’s Quantum Factoring Algorithm",
    Mathematics 11, 4222 (2023)
    PDF
  6.  T. Heitmann, J. Richter, F. Jin, S. Nandy, Z. Lenarčič, J. Herbrych, K. Michielsen, H. De Raedt, J. Gemmer, and R. Steinigeweg,
    "Spin-1/2 XXZ chain coupled to two Lindblad baths: Constructing nonequilibrium steady states from equilibrium correlation functions",
    Phys. Rev. B 108, L201119 (2023)
    PDF