% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Ansari:1034121,
      author       = {Ansari, Mohammad and Pazem, Josephine},
      title        = {{E}rror mitigation of entangled states using brainbox
                      quantum autoencoders},
      reportid     = {FZJ-2024-06937},
      year         = {2023},
      abstract     = {Current quantum hardware is subject to various sources of
                      noise that limits the access to multi-qubit entangled
                      states. Quantum autoencoder circuits with a single qubit
                      bottleneck have showncapability to correct error in noisy
                      entangled state. By introducing slightly more complex
                      structuresin the bottleneck, the so-called brainboxes, the
                      denoising process can take place faster and forstronger
                      noise channels. Choosing the most suitable brainbox for the
                      bottleneck is the result of atrade-off between noise
                      intensity on the hardware, and the training impedance.
                      Finally, by studyingRényi entropy flow throughout the
                      networks we demonstrate that the localization of
                      entanglementplays a central role in denoising through
                      learning.},
      cin          = {PGI-2},
      cid          = {I:(DE-Juel1)PGI-2-20110106},
      pnm          = {5224 - Quantum Networking (POF4-522) / SUPERSPIN -
                      Superconducting Spintronics for Highly Energery Efficient
                      Cryogenic Memory Applications (743791)},
      pid          = {G:(DE-HGF)POF4-5224 / G:(EU-Grant)743791},
      typ          = {PUB:(DE-HGF)25},
      url          = {https://juser.fz-juelich.de/record/1034121},
}