output
20172026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023 · quant-phShow all

2 papers · 2 filters

quant-ph2023★ 23 cited

Reduction of finite sampling noise in quantum neural networks

David A. Kreplin, Marco Roth

Quantum neural networks (QNNs) use parameterized quantum circuits with data-dependent inputs and generate outputs through the evaluation of expectation values. Calculating these ex…

quant-ph2023★ 29 cited

Quantum Gaussian Process Regression for Bayesian Optimization

Frederic Rapp, Marco Roth

Gaussian process regression is a well-established Bayesian machine learning method. We propose a new approach to Gaussian process regression using quantum kernels based on paramete…