66 citations to https://www.mathnet.ru/eng/prl4
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Yong Hu, Xiao-Yu Li, Qin-Sheng Zhu, Lecture Notes in Computer Science, 12736, Artificial Intelligence and Security, 2021, 132
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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
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Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane, “QGOpt: Riemannian optimization for quantum technologies”, SciPost Phys., 10:3 (2021), 79–26
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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
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Erika Ye, Garnet Kin-Lic Chan, “Constructing tensor network influence functionals for general quantum dynamics”, The Journal of Chemical Physics, 155:4 (2021)
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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)
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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)
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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
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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
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Luis E. Herrera Rodríguez, Alexei A. Kananenka, “Convolutional Neural Networks for Long Time Dissipative Quantum Dynamics”, J. Phys. Chem. Lett., 12:9 (2021), 2476