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quant-ph2023★ 13 cited
Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
David Fitzek, Robert S. Jonsson, Werner Dobrautz +1
Variational quantum algorithms (VQAs) represent a promising approach to utilizing current quantum computing infrastructures. VQAs are based on a parameterized quantum circuit optim…
cs.LG2023★ 1 cited
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
John Törnblom, Emil Karlsson, Simin Nadjm-Tehrani
The ability to explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided…