Fate of Entanglement for Initial Separable States in Quantum Neural Network

Year 2019, Volume: 7 Issue: 2, 178 - 181, 30.04.2019

Ufuk Korkmaz

https://doi.org/10.17694/bajece.541444

Cited By: 1

Abstract

This study is related
to the fate of entanglement for initial separable states in a quantum neural
network (QNN) model, which is in contact with the data environments locally.
The duration of entanglement in quantum systems becomes extremely important
when we consider it as a valuable resource. Thus, the effects of various
initial states on the occurrence or decay of entanglement are investigated in
the presence of information reservoirs. Especially in this study, central spin
model has been examined as a quantum version of neural networks by taking
inspiration from the biological models. Our model consists of a central spin
system with two nodes to which the nodes are coupled to independent spin baths.
Numerical results clearly show that different initial states have a profound
effect on the fate of the entanglement. It also shows that the entanglement
lifetime can be adjusted by regulating the reservoir states. The results can be
used in realistic communication network situations to improve the performance
of entanglement formation or distribution.

Keywords

Entanglement, Information reservoir, Central spin model, Quantum neural network

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