1 code implementation • 22 Jan 2023 • Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
The resulting attributions can be interpreted as explanations for why a specific circuit works well for a given task, improving the understanding of how to construct parameterized (or variational) quantum circuits, and fostering their human interpretability in general.
Explainable Artificial Intelligence (XAI) Quantum Machine Learning
no code implementations • 19 Jan 2023 • Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
We propose a novel definition of Shapley values with uncertain value functions based on first principles using probability theory.
no code implementations • 23 Apr 2022 • Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frederic Barbaresco
Given is a set of images, where all images show views of the same area at different points in time and from different viewpoints.
no code implementations • 15 Mar 2022 • Christian Bauckhage, Thore Gerlach, Nico Piatkowski
We show that the fundamental tasks of sorting lists and building search trees or heaps can be modeled as quadratic unconstrained binary optimization problems (QUBOs).