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Found 3 papers, 1 papers with code
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
Benchmarking of quantum machine learning (QML) algorithms is challenging due to the complexity and variability of QML systems, e. g., regarding model ansatzes, data sets, training techniques, and hyper-parameters selection.
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
We solve robot trajectory planning problems at industry-relevant scales.
Quantum Computing: Towards Industry Reference Problems
The complexity is increasing rapidly in many areas of the automotive industry.
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