Quantum Computing-Driven Optimization of Machine Learning Algorithms for Embedded Systems
The development of quantum technologies opens new possibilities for the optimization of machine learning (ML) algorithms. In this contribution, we report on the experimental use of quantum computing for training ML algorithms and models designed to be deployed for inference on embedded systems with limited computationa...