2 papers
quant-ph2026
Benign Overfitting with Quantum Kernels
Joachim Tomasi, Sandrine Anthoine, Hachem Kadri
Kernel methods compare inputs through feature maps. Quantum kernels follow the same principle: input data are encoded into quantum states, which define quantum feature representati…
quant-ph2026
On Quantum Perceptron Learning via Quantum Search
Xiaoyu Sun, Mathieu Roget, Giuseppe Di Molfetta +1
With the growing interest in quantum machine learning, the perceptron, a fundamental building block in traditional machine learning, has emerged as a valuable model for exploring t…