Quantum-classical separations in shallow-circuit-based learning with and without noises
Abstract An essential problem in quantum machine learning is to find quantum-classical separations between learning models. However, rigorous and unconditional separations are lacking for supervised learning. Here we construct a classification problem defined by a noiseless constant depth (i.e., sha...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Nature Portfolio
2024-08-01
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| Serie: | Communications Physics |
| Länkar: | https://doi.org/10.1038/s42005-024-01783-7 |
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