Technical Program: Paper Detail || IEEE M2GARSS 2024 || Oran, Algeria || 15

TU1.RA.2

A HYBRID QUANTUM-CLASSICAL CNN ARCHITECTURE FOR SEMANTIC SEGMENTATION OF RADAR SOUNDER DATA

Raktim Ghosh, Fondazione Bruno Kessler, Italy and University of Trento, Italy, Italy; Amer Delilbasic, Gabriele Cavallaro, Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany and University of Iceland, Iceland, Germany; Francesca Bovolo, Fondazione Bruno Kessler, Italy, Italy

Session:

TU1.RA: Quantum approaches in remote sensing Oral

Location:

Amphitheatre

Presentation Time:

Tue, 16 Apr, 09:45 - 10:00 Algeria Time (UTC +1)
Tue, 16 Apr, 17:45 - 18:00 Japan Time (UTC +9)
Tue, 16 Apr, 08:45 - 09:00 UTC
Tue, 16 Apr, 04:45 - 05:00 New York Time (UTC -4)

Session Chair:

Yannick Deville, Université de Toulouse

Session TU1.RA

TU1.RA.1: A TAXONOMY OF RELATIONSHIPS BETWEEN INFORMATION PROCESSING, MACHINE LEARNING AND QUANTUM PHYSICS: QUANTUM-INSPIRED, QUANTUM-ASSISTED, QUANTUM-TARGETED AND RELATED APPROACHES

Yannick Deville, Université de Toulouse, France; Leonardo Tomazeli Duarte, Universidade Estaudal de Campinas, Brazil; Alain Deville, Aix-Marseille Université, France

TU1.RA.2: A HYBRID QUANTUM-CLASSICAL CNN ARCHITECTURE FOR SEMANTIC SEGMENTATION OF RADAR SOUNDER DATA

TU1.RA.3: Quantum-assisted machine learning by means of adiabatic quantum computing

Leonardo Tomazeli Duarte, Universidade Estadual de Campinas (UNICAMP), Brazil; Yannick Deville, Université de Toulouse, France

TU1.RA.4: QUANTUM ANNEALING FOR SEMANTIC SEGMENTATION IN REMOTE SENSING: POTENTIAL AND LIMITATIONS

Amer Delilbasic, Forschungszentrum Jülich GmbH, Germany; Bertrand Le Saux, European Space Agency, Italy; Morris Riedel, Kristel Michielsen, Gabriele Cavallaro, Forschungszentrum Jülich GmbH, Germany