40 citations to https://www.mathnet.ru/rus/rm9835
  1. N. Anders Petersson, Stefanie Günther, Seung Whan Chung, “A time-parallel multiple-shooting method for large-scale quantum optimal control”, Journal of Computational Physics, 2025, 113712  crossref
  2. S. I. Doronin, E. B. Fel'dman, A. I. Zenchuk, “Two-level control over quantum state creation via entangled equal-probability state”, Quantum Inf Process, 24:2 (2025)  crossref
  3. Jiaxiang Li, Huilong Xu, Zibo Miao, 2025 4th Conference on Fully Actuated System Theory and Applications (FASTA), 2025, 1943  crossref
  4. Oleksandr Povitchan, Denys I. Bondar, Andrii G. Sotnikov, “Enhancement of superconducting pairing via quantum Lyapunov control”, Phys. Rev. A, 112:3 (2025)  crossref
  5. Anders B. Nielsen, José P. Carvalho, Nino Wili, Filip V. Jensen, David L. Goodwin, Thomas S. Untidt, Zdeněk Tošner, Niels Chr. Nielsen, “Controlling effective Hamiltonians: Broadband pulsed dynamic nuclear polarization by constrained random walk and non-linear optimization”, The Journal of Chemical Physics, 163:14 (2025)  crossref
  6. Adonai H. da Silva, Leonardo K. Castelano, Reginaldo de J. Napolitano, “Monte Carlo approach for finding optimally controlled quantum gates with differential geometry”, Phys. Rev. A, 112:5 (2025)  crossref
  7. Jiahao Wu, Guanjie He, Wenyuan Zhuo, Quan Fu, Xin Wang, “Jenga-Krotov algorithm: Efficient compilation of multiqubit gates for exchange-only qubits”, Phys. Rev. Research, 7:4 (2025)  crossref
  8. Denys I. Bondar, Llorenç Balada Gaggioli, Georgios Korpas, Jakub Marecek, Jiri Vala, Kurt Jacobs, “Globally optimal control of quantum dynamics”, Phys. Rev. Research, 7:4 (2025)  crossref
  9. O. Shindi, Q. Yu, P. Girdhar, D. Dong, “Model-free quantum gate design and calibration using deep reinforcement learning”, IEEE Trans. Artif. Intell., 5:1 (2024), 346  crossref
  10. I. Halperin, “The meaning and accuracy of the improving functions in the solution of the CBQR by Krotov's method”, Mathematics, 12:4 (2024), 611  crossref
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