Leo Monbroussou

Leo is an enthusiastic researcher with a Master's degree in Electrical Engineering from Ecole Normale Superieure Paris-Saclay and a second Master's degree in Information Theory from Institut Polytechnique de Paris. Leo's academic journey has been enriched by a University Diploma in Quantum Technologies from Université Paris-Saclay, reflecting Leo's deep interest in the exciting field of quantum information and its applications.

Currently, Leo is a PhD student at LIP6 under the supervision of Elham Kashefi and Alex B. Grilo, where Leo is immersed in the world of quantum machine learning. Leo's PhD journey is enriched by a collaboration with the French company, Naval Group, where Leo bridges the gap between academic research and applications.

Leo's research focuses on several key areas, including the design and analysis of NISQ models such as Hamming weight-preserving quantum circuits. Leo also explores the expressivity and trainability of variational quantum algorithms, and particularly the resulting Fourier models. In addition, Leo actively engages in the implementation of NISQ (Noisy Intermediate-Scale Quantum) algorithms. Leo's efforts extend to specific hardware, including photonic platforms. Leo is driven by the goal of bringing cutting-edge quantum research to practical applications.