73 citations to https://www.mathnet.ru/rus/prl4
  1. Artem Kryukov, Roman Abramov, Leonid E. Fedichkin, Alexander Alodjants, Alexey A. Melnikov, “Supervised graph classification for chiral quantum walks”, Phys. Rev. A, 105:2 (2022)  crossref
  2. Jintao Yang, Junpeng Cao, Wen-Li Yang, “Dynamical learning of non-Markovian quantum dynamics”, Chinese Phys. B, 31:1 (2022), 010314  crossref
  3. Francesco Ciccarello, Salvatore Lorenzo, Vittorio Giovannetti, G. Massimo Palma, “Quantum collision models: Open system dynamics from repeated interactions”, Physics Reports, 954 (2022), 1  crossref
  4. James Nelson, Luuk Coopmans, Graham Kells, Stefano Sanvito, “Data-driven time propagation of quantum systems with neural networks”, Phys. Rev. B, 106:4 (2022)  crossref
  5. I. A. Luchnikov, E. O. Kiktenko, M. A. Gavreev, H. Ouerdane, S. N. Filippov, A. K. Fedorov, “Probing non-Markovian quantum dynamics with data-driven analysis: Beyond “black-box” machine-learning models”, Phys. Rev. Research, 4 (2022), 43002–22  mathnet  crossref
  6. Stefano Martina, Stefano Gherardini, Lorenzo Buffoni, Filippo Caruso, “Noise fingerprints in quantum computers: Machine learning software tools”, Software Impacts, 12 (2022), 100260  crossref
  7. Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso, “Learning the noise fingerprint of quantum devices”, Quantum Mach. Intell., 4:1 (2022)  crossref
  8. Yong Hu, Xiao-Yu Li, Qin-Sheng Zhu, Lecture Notes in Computer Science, 12736, Artificial Intelligence and Security, 2021, 132  crossref
  9. Graeme D. Berk, Andrew J. P. Garner, Benjamin Yadin, Kavan Modi, Felix A. Pollock, “Resource theories of multi-time processes: A window into quantum non-Markovianity”, Quantum, 5 (2021), 435  crossref
  10. Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane, “QGOpt: Riemannian optimization for quantum technologies”, SciPost Phys., 10:3 (2021), 79–26  mathnet  crossref  isi
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