On Neural Quantum Support Vector Machines
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Abstract (arXiv)
In citesimon2023algorithms 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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 17 references that are in the map. First posted on arXiv 16 Aug 2023.
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8 of 17 references.
References · 8
- 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,349
- 2018Supervised learning with quantum enhanced feature spacescited by 665
- 2020A rigorous and robust quantum speed-up in supervised machine learningcited by 271
- 2021Supervised quantum machine learning models are kernel methodscited by 200
- 2013Deep Learning using Linear Support Vector Machinescited by 39
- 2022The complexity of quantum support vector machinescited by 23
- 2023Quantum Kernel Alignment with Stochastic Gradient Descentcited by 14
- 2023Algorithms for the Training of Neural Support Vector Machinescited by 1
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