Non-Markovianity over Ensemble Averages in Quantum Complex Networks

Johannes Nokkala, Sabrina Maniscalco, Jyrki Piilo

Research output: Contribution to journalArticleScientificpeer-review


We consider bosonic quantum complex networks as structured finite environments for a quantum harmonic oscillator and investigate the interplay between the network structure and its spectral density, excitation transport properties and non-Markovianity. After a review of the formalism used, we demonstrate how even small changes to the network structure can have a large impact on the transport of excitations. We then consider the non-Markovianity over ensemble averages of several different types of random networks of identical oscillators and uniform coupling strength. Our results show that increasing the number of interactions in the network tends to suppress the average non-Markovianity. This suggests that tree networks are the random networks optimizing this quantity.

Original languageEnglish
Article number1740018
Number of pages21
JournalOpen Systems and Information Dynamics
Issue number4
Publication statusPublished - 1 Dec 2017
MoE publication typeA1 Journal article-refereed


  • non-Markovian dynamics
  • Open quantum systems
  • quantum complex networks

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