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...
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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2023-01-01
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| Seri Bilgileri: | IEEE Transactions on Quantum Engineering |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10158043/ |
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