Elies Gil-Fuster

Elies Gil-Fuster is a doctoral researcher at Freie Universität Berlin, whose work lies at the intersection of quantum computing and artificial intelligence. Since 2019, Gil-Fuster has made significant contributions to the fundamental theory of quantum machine learning and, in 2023, was awarded a Google PhD Fellowship in Quantum Computing.

His research addresses a key question: in which real-world scenarios should quantum learning models be used instead of classical algorithms such as neural networks? This question has far-reaching implications for how learning algorithms process information and presents ongoing challenges. To pursue answers, Gil-Fuster is developing a precise formal language to navigate the complex landscape of proposals for quantum advantage in learning and their practical relevance. His work has guided the field of quantum machine learning from its infancy toward a more mature stage.