End-to-end Optimization of Single-Shot Quantum Machine Learning for Bayesian Inference

Theodoros Ilias, Fangjun Hu, Marti Vives +1

We introduce an end-to-end optimization strategy for quantum machine learning that directly targets performance under finite measurement resources, where learning objectives are de…