A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Stochastic collision model approach to transport phenomena in quantum networks
Julkaisun tekijät: Chisholm Dario Garcia-Perez Guillermo, Rossi Matteo, Palma Massimo, Maniscalco Sabrina
Kustantaja: IOP PUBLISHING LTD
Julkaisuvuosi: 2021
Journal: New Journal of Physics
Tietokannassa oleva lehden nimi: NEW JOURNAL OF PHYSICS
Lehden akronyymi: NEW J PHYS
Volyymi: 23
Sivujen määrä: 12
ISSN: 1367-2630
DOI: http://dx.doi.org/10.1088/1367-2630/abd57d
Verkko-osoite: https://iopscience.iop.org/article/10.1088/1367-2630/abd57d
Tiivistelmä
Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects and quantum coherence in achieving maximal efficiency. Due to the complexity of biochemical systems and their environments, effective open quantum system models capable of providing physical insights on the presence and role of quantum effects are highly needed. In this paper, we introduce a new approach that combines an effective quantum microscopic description with a classical stochastic one. Our stochastic collision model (SCM) describes both Markovian and non-Markovian dynamics without relying on the weak coupling assumption. We investigate the consequences of spatial and temporal heterogeneity of noise on transport efficiency in a fully connected graph and in the Fenna-Matthews-Olson (FMO) complex. Our approach shows how to meaningfully formulate questions, and provide answers, on important open issues such as the properties of optimal noise and the emergence of the network structure as a result of an evolutionary process.
Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects and quantum coherence in achieving maximal efficiency. Due to the complexity of biochemical systems and their environments, effective open quantum system models capable of providing physical insights on the presence and role of quantum effects are highly needed. In this paper, we introduce a new approach that combines an effective quantum microscopic description with a classical stochastic one. Our stochastic collision model (SCM) describes both Markovian and non-Markovian dynamics without relying on the weak coupling assumption. We investigate the consequences of spatial and temporal heterogeneity of noise on transport efficiency in a fully connected graph and in the Fenna-Matthews-Olson (FMO) complex. Our approach shows how to meaningfully formulate questions, and provide answers, on important open issues such as the properties of optimal noise and the emergence of the network structure as a result of an evolutionary process.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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