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Cited by 25 publications
(13 citation statements)
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“…The latter approach reveals the physics of memory effects and its relation to the environment correlation functions. Here we have demonstrated the advantages of tensor networks in general collisional dynamics, thus extending the range of successful tensor-network applications in many-body dynamics [81][82][83], operational meaning of non-Markovianity [84][85][86], and spin-boson models [87][88][89].…”
mentioning
confidence: 82%
“…The latter approach reveals the physics of memory effects and its relation to the environment correlation functions. Here we have demonstrated the advantages of tensor networks in general collisional dynamics, thus extending the range of successful tensor-network applications in many-body dynamics [81][82][83], operational meaning of non-Markovianity [84][85][86], and spin-boson models [87][88][89].…”
mentioning
confidence: 82%
“…At small cutoff frequency, in Fig 4(a), moderately strong vibrational coupling causes the excitation and decay rates to increase and decrease, respectively. This effect can lead to population inversion in the two-level system, which has recently been shown using the reaction coordinate mapping [25] and numerically using tensor networks [26]. Excitation rates are enhanced because increasing vibrational coupling causes optical transitions to higher-lying vibrational states in the excited manifold, which couple more strongly to the field owing to J O (ν) ∝ ν 3 .…”
Section: A T V = 0 Numerical Comparisonmentioning
confidence: 95%
“…( 9) and (11) accurately describes the exciton dynamics if the optical coupling strength is weak enough that (i) the second-order Born and Markov approximations hold and (ii) the timescale for optical transitions is slower than for polaron formation. The latter restriction arises because the polaron transformation assumes that polarons form instantly after each transition [26].…”
Section: Optical Transition Ratesmentioning
confidence: 99%
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