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Impact of quantum noise on the training of quantum Generative Adversarial Networks
Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different error mitigation and error correction techniques have been proposed. In this paper, we conduct a first study of the perfo...
| Autores principales: | , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012093 http://cds.cern.ch/record/2803020 |