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Quantum-Classical Multiple Kernel Learning

Published in arXiv (Cornell University) • May 28, 2023
NobleIDNI1P72W31R14S35
Authors:
Ara Ghukasyan
,
Jack S. Baker
,
Oktay Göktaş

Abstract

As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is one area where such improvements could be realized in the near future. Paired with kernel methods like support-vector ma...

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