TY  - CONF
AU  - Pazem, Josephine
AU  - Ansari, Mohammad
TI  - Beware of entropy phase transition! How to make quantum denoising successful?
M1  - FZJ-2023-00039
PY  - 2022
AB  - 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.
T2  - APS March Meeting 2022
CY  - 14 Mar 2022 - 18 Mar 2022, Chicago (USA)
Y2  - 14 Mar 2022 - 18 Mar 2022
M2  - Chicago, USA
LB  - PUB:(DE-HGF)24
UR  - https://juser.fz-juelich.de/record/916699
ER  -