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The Quantum Path Kernel: A Generalized Neural Tangent Kernel for Deep Quantum Machine Learning
Building a quantum analog of classical deep neural networks represents a fundamental challenge in quantum computing. A key issue is how to address the inherent nonlinearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quan...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1109/TQE.2023.3287736 http://cds.cern.ch/record/2853389 |