• M.S. Sapova and A.K. Fedorov, Variational quantum eigensolver techniques for simulating carbon monoxide oxidation, Communications Physics 5, 199 (2022); arXiv:2108.11167.
  • A.V. Antipov, E.O. Kiktenko, and A.K. Fedorov, Efficient realization of quantum primitives for Shor’s algorithm using PennyLane library, PLoS ONE 17, e027146 (2022); arXiv:2201.05426.
  • A.I. Lotkov, V. Gritsev, A.K. Fedorov, and D.V. Kurlov, Floquet integrability and long-range entanglement generation in the one-dimensional quantum Potts model, Physical Review B 105, 144306 (2022); arXiv:2110.09559.
  • A.S. Nikolaeva, E.O. Kiktenko, and A.K. Fedorov, Decomposing the generalized Toffoli gate with qutrits, Physical Review A 105, 032621 (2022); arXiv:2112.14535.
  • I.A. Luchnikov, E.O. Kiktenko, M.A. Gavreev, H. Ouerdane, S.N. Filippov, and A.K. Fedorov, Probing non-Markovian quantum dynamics with data-driven analysis: Beyond “black-box” machine learning models, Physical Review Research 4, 043002 (2022); arXiv:2103.14490.
  • D. Bokhan, A.S. Mastiukova, A.S. Boev, D.N. Trubnikov, and A.K. Fedorov, Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning, Frontiers in Physics 10, 1069985 (2022); arXiv:2203.15368.
  • A.S. Mastiukova, M.A. Gavreev, E.O. Kiktenko, and A.K. Fedorov, Suppressing decoherence in quantum state transfer with unitary operations, Entropy 25, 67 (2022); arXiv:2208.04926.
  • M.S. Bahovadinov, W. Buijsman, A.K. Fedorov, V. Gritsev, and D.V. Kurlov, Many-body localization of Z3 Fock parafermions, Physical Review B 106, 224205 (2022); arXiv:2210.02947.
  • L.R. Bakker, M.S. Bahovadinov, D.V. Kurlov, V. Gritsev, A.K. Fedorov, and D.O. Krimer, Driven-dissipative time crystalline phases in a two-mode bosonic system with Kerr nonlinearity, Physical Review Letters 129, 250401 (2022); arXiv:2204.07533.