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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Autors principals:	Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Transactions on Quantum Engineering
Matèries:	Machine learning neural tangent kernel (NTK) quantum kernel quantum machine learning quantum neural networks (QNNs) support vector machine (SVM)
Accés en línia:	https://ieeexplore.ieee.org/document/10158043/
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