Automatic and Effective Discovery of Quantum Kernels

• Published in: IEEE transactions on emerging topics in computational intelligence pp. 1 - 10
• Main Authors: Incudini, Massimiliano, Bosco, Daniele Lizzio, Martini, Francesco, Grossi, Michele, Serra, Giuseppe, Pierro, Alessandra Di
• Format: Journal Article
• Language: English
• Published: IEEE 2024
• Subjects: anomaly detection; Computational modeling; Eigenvalues and eigenfunctions; High energy physics; Hilbert space; Kernel; kernel machines; Logic gates; neural architecture search; Optimization; Quantum circuit; Quantum computing; Quantum kernel; quantum machine learning; Vectors

Quantum computing can empower machine learning models by enabling kernel machines to leverage quantum kernels for representing similarity measures between data. Quantum kernels are able to capture relationships in the data that are not efficiently computable on classical devices. However, there is n...