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Quantum Machine Learning

On Neural Quantum Support Vector Machines

arXiv
Authors: Lars Simon, Manuel Radons

Year

2023

Paper ID

55737

Status

Preprint

Abstract Read

~2 min

Abstract Words

45

Citations

N/A

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.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • In citesimon2023algorithms we introduced four algorithms for the training of neural support vector machines (NSVMs) and demonstrated their feasibility.

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