23 citations · 50 across the 6 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 23 cited
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
Massimiliano Incudini, Michele Grossi, Antonio Mandarino +3
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 cla…
quant-ph2022★ 13 cited
Automatic and effective discovery of quantum kernels
Massimiliano Incudini, Daniele Lizzio Bosco, Francesco Martini +3
Quantum computing can empower machine learning models by enabling kernel machines to leverage quantum kernels for representing similarity measures between data. Quantum kernels are…