Poster (Invited) FZJ-2023-00039

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Beware of entropy phase transition! How to make quantum denoising successful?

 ;

2022

APS March Meeting 2022, ChicagoChicago, USA, 14 Mar 2022 - 18 Mar 20222022-03-142022-03-18

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.


Contributing Institute(s):
  1. Theoretische Nanoelektronik (PGI-2)
Research Program(s):
  1. 5224 - Quantum Networking (POF4-522) (POF4-522)

Appears in the scientific report 2022
Click to display QR Code for this record

The record appears in these collections:
Document types > Presentations > Poster
Institute Collections > PGI > PGI-2
Workflow collections > Public records
Publications database

 Record created 2023-01-03, last modified 2023-01-23



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)