On Neural Quantum Support Vector Machines
Lars Simon, Manuel Radons

TL;DR
This paper introduces neural quantum support vector machines (NSVMs) with quantum kernels, extending previous neural SVM algorithms to incorporate quantum computing techniques for potentially enhanced performance.
Contribution
It presents the integration of quantum kernels into neural support vector machines, expanding the applicability of NSVMs with quantum computing methods.
Findings
Extended NSVM algorithms to include quantum kernels
Demonstrated feasibility of neural quantum SVMs
Laid groundwork for future quantum-enhanced machine learning
Abstract
In \cite{simon2023algorithms} we introduced four algorithms for the training of neural support vector machines (NSVMs) and demonstrated their feasibility. In this note we introduce neural quantum support vector machines, that is, NSVMs with a quantum kernel, and extend our results to this setting.
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Taxonomy
TopicsNeural Networks and Applications · Machine Learning and ELM
