66 citations to https://www.mathnet.ru/eng/prl4
  1. Yong Hu, Xiao-Yu Li, Qin-Sheng Zhu, Lecture Notes in Computer Science, 12736, Artificial Intelligence and Security, 2021, 132  crossref
  2. 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
  3. 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
  4. Alexander E. Teretenkov, “Non-perturbative effects in corrections to quantum master equations arising in Bogolubov–van Hove limit”, J. Phys. A, 54:26 (2021), 265302–24  mathnet  crossref  isi  scopus
  5. Erika Ye, Garnet Kin-Lic Chan, “Constructing tensor network influence functionals for general quantum dynamics”, The Journal of Chemical Physics, 155:4 (2021)  crossref
  6. K. Goswami, C. Giarmatzi, C. Monterola, S. Shrapnel, J. Romero, F. Costa, “Experimental characterization of a non-Markovian quantum process”, Phys. Rev. A, 104:2 (2021)  crossref
  7. Felipe F. Fanchini, Göktuğ Karpat, Daniel Z. Rossatto, Ariel Norambuena, Raúl Coto, “Estimating the degree of non-Markovianity using machine learning”, Phys. Rev. A, 103:2 (2021)  crossref
  8. Hongfei Wang, Xiujuan Zhang, Jinguo Hua, Dangyuan Lei, Minghui Lu, Yanfeng Chen, “Topological physics of non-Hermitian optics and photonics: a review”, J. Opt., 23:12 (2021), 123001  crossref
  9. Sreetama Das, Sudipto Singha Roy, Samyadeb Bhattacharya, Ujjwal Sen, “Nearly Markovian maps and entanglement-based bound on corresponding non-Markovianity”, J. Phys. A: Math. Theor., 54:39 (2021), 395301  crossref
  10. Luis E. Herrera Rodríguez, Alexei A. Kananenka, “Convolutional Neural Networks for Long Time Dissipative Quantum Dynamics”, J. Phys. Chem. Lett., 12:9 (2021), 2476  crossref
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