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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},
}