Noise-enhanced quantum kernels on analog quantum computers for estimating the non-Markovianity from sparse temporal data

The quantum kernel method, a promising quantum machine learning algorithm, possesses substantial potential for demonstrating a quantum advantage. While most quantum kernels are constructed in the context of gate-based quantum circuits, inspired by the idea of analog quantum computing with Rydberg at