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Bosonic Continuous Variable Quantum Computing

Non-Markovianity over ensemble averages in quantum complex networks

arXiv
Authors: Johannes Nokkala, Sabrina Maniscalco, Jyrki Piilo

Year

2017

Paper ID

2574

Status

Preprint

Abstract Read

~2 min

Abstract Words

111

Citations

N/A

Abstract

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.

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  • This paper contributes to the Bosonic & Continuous-Variable Quantum Computing research area in the Quantum Articles archive.
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  • We consider bosonic quantum complex networks as structured finite environments for a quantum harmonic oscillator and investigate the interplay between the network structure and...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1712.08421 [2] arXiv https://arxiv.org/abs/1712.08421 [3] Publisher https://arxiv.org/abs/1712.08421

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