On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.

Daniela Alessandra Zaidenberg

Alessandro Sebastianelli Daniela Alessandra Zaidenberg Dario Spiller Bertrand Le Saux Silvia Liberata Ullo On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. 565-580 2022 15 IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. https://doi.org/10.1109/JSTARS.2021.3134785 db/journals/staeors/staeors15.html#SebastianelliZS22

Daniela Alessandra Zaidenberg Alessandro Sebastianelli Dario Spiller Bertrand Le Saux Silvia Liberata Ullo Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. 5680-5683 2021 IGARSS https://doi.org/10.1109/IGARSS47720.2021.9553133 conf/igarss/2021 db/conf/igarss/igarss2021.html#ZaidenbergSSSU21

Daniela Alessandra Zaidenberg Alessandro Sebastianelli Dario Spiller Silvia Liberata Ullo Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. 2021 abs/2101.10657 CoRR https://arxiv.org/abs/2101.10657 db/journals/corr/corr2101.html#abs-2101-10657

Alessandro Sebastianelli Daniela Alessandra Zaidenberg Dario Spiller Bertrand Le Saux Silvia Liberata Ullo On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. 2021 abs/2109.09484 CoRR https://arxiv.org/abs/2109.09484 db/journals/corr/corr2109.html#abs-2109-09484

Bertrand Le Saux Alessandro Sebastianelli Dario Spiller Silvia Liberata Ullo