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 non-linearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quantum gates, consisting of a series of sequenti...

quantum computing Neural Tangent Kernels (NTKs) Quantum algorithms Quantum Path Kernel classical deep neural networks