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Generating muonic force carriers events with classical and quantum neural networks
Generative models (GM) are promising applications for near-term quantum computers due to the probabilistic nature of quantum mechanics. This work compares a classical conditional generative adversarial network (CGAN) with a quantum circuit Born machine while addressing their strengths and limitation...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012089 http://cds.cern.ch/record/2869680 |