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@INPROCEEDINGS{Pazem:916699,
author = {Pazem, Josephine and Ansari, Mohammad},
title = {{B}eware of entropy phase transition! {H}ow to make quantum
denoising successful?},
reportid = {FZJ-2023-00039},
year = {2022},
abstract = {Quantum autoencoders can help to generate denoised
entanglement on a noisy neural network. However noise
outweighs the process if it gets too strong. [1]We show that
the flow of Rényi entropy in a subnet can perform as a
measure whose phase transition determines denoising success
or failure. Moreover, we rely on the study to implement a
deformation of the network that results in improved
tolerance against heavier noises.References:[1] D.
Bondarenko and P. Feldmann, “Quantum autoencoders to
denoise quantum data,” Phys. Rev. Lett., vol. 124, no. 13,
p. 130502, 2020.},
month = {Mar},
date = {2022-03-14},
organization = {APS March Meeting 2022, Chicago (USA),
14 Mar 2022 - 18 Mar 2022},
subtyp = {Invited},
cin = {PGI-2},
cid = {I:(DE-Juel1)PGI-2-20110106},
pnm = {5224 - Quantum Networking (POF4-522)},
pid = {G:(DE-HGF)POF4-5224},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/916699},
}