Our objective is to learn the natural curve shapes with the help of Artificial Neural Networks (ANN). Our research aims to improve curve dynamics generated by the parametric models and the PCA. By running the ANN on the dataset of historically observed term structures of forward commodity prices...

The presentation slides cover two promising machine learning applications of parameterised quantum circuits: Quantum Neural Network (discriminative QML model) and Quantum Circuit Born Machine (generative QML model)