1 citations · 1 across the 3 of their papers we have counts for
3 papers
quant-ph2024
Denoising Gradient Descent in Variational Quantum Algorithms
Lars Simon, Holger Eble, Hagen-Henrik Kowalski +1
In this article we introduce an algorithm for mitigating the adverse effects of noise on gradient descent in variational quantum algorithms. This is accomplished by computing a {\e…
cs.LG2023★ 1 cited
Algorithms for the Training of Neural Support Vector Machines
Lars Simon, Manuel Radons
Neural support vector machines (NSVMs) allow for the incorporation of domain knowledge in the design of the model architecture. In this article we introduce a set of training algor…
quant-ph2023
On Neural Quantum Support Vector Machines
Lars Simon, Manuel Radons
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…