This title appears in the Scientific Report :
2022
Beware of entropy phase transition! How to make quantum denoising successful?
Beware of entropy phase transition! How to make quantum denoising successful?
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. Moreove...
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Personal Name(s): | Pazem, Josephine (Corresponding author) |
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Ansari, Mohammad | |
Contributing Institute: |
Theoretische Nanoelektronik; PGI-2 |
Imprint: |
2022
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Conference: | APS March Meeting 2022, Chicago (USA), 2022-03-14 - 2022-03-18 |
Document Type: |
Poster |
Research Program: |
Quantum Networking |
Publikationsportal JuSER |
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. |