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@INPROCEEDINGS{Ghosh:1029394,
      author       = {Ghosh, Raktim and Delilbasic, Amer and Cavallaro, Gabriele
                      and Bovolo, Francesca},
      title        = {{A} {H}ybrid {Q}uantum-{C}lassical {CNN} {A}rchitecture for
                      {S}emantic {S}egmentation of {R}adar {S}ounder {D}ata},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-05102},
      pages        = {366-370},
      year         = {2024},
      abstract     = {The article presents for the first time a hybrid
                      quantum-classical architecture in the context of subsurface
                      target detection in the radar sounder signal. We enhance the
                      classical convolutional neural network (CNN) based
                      architecture by integrating a quantum layer in the latent
                      space. We investigate two quantum circuits with the
                      classical neural networks by exploiting fundamental
                      properties of quantum mechanics such as entanglement and
                      superposition. The proposed hybrid architecture is used for
                      the downstream task of patch-wise semantic segmentation of
                      radar sounder subsurface images. Experimental results on the
                      MCoRDS and MCoRDS3 datasets demonstrated the capability of
                      the hybrid quantum-classical approach for radar sounder
                      information extraction.},
      month         = {Apr},
      date          = {2024-04-15},
      organization  = {2024 IEEE Mediterranean and
                       Middle-East Geoscience and Remote
                       Sensing Symposium (M2GARSS), Oran
                       (Algeria), 15 Apr 2024 - 17 Apr 2024},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/M2GARSS57310.2024.10537440},
      url          = {https://juser.fz-juelich.de/record/1029394},
}