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Latent Style-based Quantum GAN for high-quality Image Generation / Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Thanasilp, Supanut (Ecole Polytechnique, Lausanne ; Chulalongkorn U. ; European Space Agency) ; Le Saux, Bertrand (European Space Agency) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
Quantum generative modeling is among the promising candidates for achieving a practical advantage in data analysis. [...]
arXiv:2406.02668. - 28 p.
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Quantum Convolutional Circuits for Earth Observation Image Classification / Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Le Saux, Bertrand (European Space Agency) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
The amount of study on Quantum Machine Learning (QML) is increasing extensively due to its potential advantages in terms of representational power and computational resources. These advances suggest a possibility to extend its usage into the context of Earth Observations, where Machine Learning (ML) plays an important role due to its extensive amount of data to be manipulated. [...]
2022 - 4 p. - Published in : 10.1109/IGARSS46834.2022.9883992
In : IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17 - 22 Jul 2022, pp.4907-4910

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