Adrian Perez-Salinas

On the Relation between Trainability and Dequantization of Variational Quantum Learning Models

Quantum machine learning (QML) explores the potential advantages of quantum computers for machine learning tasks, with variational QML among the main current approaches. While quantum computers promise to solve problems that are classically intractable, it has been recently shown that a particular q…