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Resource Saving via Ensemble Techniques for Quantum Neural Networks
Quantum neural networks hold significant promise for numerous applications, particularly as they can be executed on the current generation of quantum hardware. However, due to limited qubits or hardware noise, conducting large-scale experiments often requires significant resources. Moreover, the out...
| Autores principales: | , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/s42484-023-00126-z http://cds.cern.ch/record/2855442 |