Quantum Machine Learning
Quantum Kernel Explorer
Compare a quantum-inspired feature-map kernel with a classical RBF kernel. The heatmap shows pairwise similarity; alignment measures how well similarity agrees with class labels.
Dataset
Kernel
2
0.80
Selected0.100
Quantum0.100
RBF0.088
quantum kernel alignment 0.100 at depth 2 and gamma 0.80.
Learning mode
Mission briefingAdvanced / 9 min
Redraw similarity
A kernel is a similarity microscope: it decides which points look close after feature mapping.
Switch kernels and tune depth or gamma while watching the alignment readout.
Definitions on demand
Kernel
A function that returns a similarity score for two inputs.
Feature map
A transformation that represents inputs in a space where similarity is measured.
Kernel alignment
A normalized agreement score between the similarity matrix and same-class labels.
Kernel Matrix
Pair 1 and 1: similarity 1.000; labels 0 and 0.
Dataset