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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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