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Training Optimization for Gate-Model Quantum Neural Networks
Gate-based quantum computations represent an essential to realize near-term quantum computer architectures. A gate-model quantum neural network (QNN) is a QNN implemented on a gate-model quantum computer, realized via a set of unitaries with associated gate parameters. Here, we define a training opt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722103/ https://www.ncbi.nlm.nih.gov/pubmed/31481737 http://dx.doi.org/10.1038/s41598-019-48892-w |