6 citations · 10 across the 3 of their papers we have counts for
3 papers
quant-ph2022★ 6 cited
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman, Slimane Thabet, Constantin Dalyac +2
Many applications of quantum computing in the near term rely on variational quantum circuits (VQCs). They have been showcased as a promising model for reaching a quantum advantage…
quant-ph2021
Quantum Algorithms for Unsupervised Machine Learning and Neural Networks
Jonas Landman
In this thesis, we investigate whether quantum algorithms can be used in the field of machine learning for both long and near term quantum computers. We will first recall the funda…
quant-ph2021★ 4 cited
Quantum Bayesian Neural Networks
Noah Berner, Vincent Fortuin, Jonas Landman
Quantum machine learning promises great speedups over classical algorithms, but it often requires repeated computations to achieve a desired level of accuracy for its point estimat…