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Quantum deep learning by sampling neural nets with a quantum annealer
We demonstrate the feasibility of framing a classically learned deep neural network as an energy based model that can be processed on a one-step quantum annealer in order to exploit fast sampling times. We propose approaches to overcome two hurdles for high resolution image classification on a quant...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998631/ https://www.ncbi.nlm.nih.gov/pubmed/36894567 http://dx.doi.org/10.1038/s41598-023-30910-7 |