70 citations to https://www.mathnet.ru/rus/prl3
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I. A. Luchnikov, S. V. Vintskevich, D. A. Grigoriev, S. N. Filippov, “Machine learning non-Markovian quantum dynamics”, Phys. Rev. Lett., 124 (2020), 140502–8
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Ilia A. Luchnikov, Alexander Ryzhov, Pieter-Jan Stas, Sergey N. Filippov, Henni Ouerdane, “Variational autoencoder reconstruction of complex many-body physics”, Entropy, 21 (2019), 1091–22
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S. V. Vintskevich, D. A. Grigoriev, S. N. Filippov, “Effect of an incoherent pump on two-mode entanglement in optical parametric generation”, Phys. Rev. A, 100 (2019), 53811–18
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Ronnie Kosloff, “Quantum thermodynamics and open-systems modeling”, The Journal of Chemical Physics, 150:20 (2019)
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S. N. Filippov, “On quantum operations of photon subtraction and photon addition”, Lobachevskii J. Math., 40:10 (2019), 1470–1478
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Pedro Figueroa-Romero, Kavan Modi, Felix A. Pollock, “Almost Markovian processes from closed dynamics”, Quantum, 3 (2019), 136
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Kavan Modi, “George Sudarshan and Quantum Dynamics”, Open Syst. Inf. Dyn., 26:03 (2019), 1950013
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Ryan S Bennink, Pavel Lougovski, “Quantum process identification: a method for characterizing non-markovian quantum dynamics”, New J. Phys., 21:8 (2019), 083013
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Mathias R. Jørgensen, Felix A. Pollock, “Exploiting the Causal Tensor Network Structure of Quantum Processes to Efficiently Simulate Non-Markovian Path Integrals”, Phys. Rev. Lett., 123:24 (2019)
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Román Orús, “Tensor networks for complex quantum systems”, Nat Rev Phys, 1:9 (2019), 538