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Found 2 papers, 1 papers with code
QUACK: Quantum Aligned Centroid Kernel
As a small step in improving the potential applications of QKMs, we introduce QUACK, a quantum kernel algorithm whose time complexity scales linear with the number of samples during training, and independent of the number of training samples in the inference stage.
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
Kernel methods based on quantum kernel estimation have emerged as a promising approach to QML on NISQ devices, offering theoretical guarantees, versatility, and compatibility with NISQ constraints.
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