Gabriel Matos is a Research Scientist at Quantinuum since July 2023, previously serving as an intern with the same company from May 2022 to October 2022, focusing on Quantum Natural Language Processing at Oxford. During the internship, Gabriel designed recurrent neural network architectures that integrated quantum circuits and utilized PyTorch and Google's JAX for implementation. An active contributor to the qujax framework, Gabriel published a paper on this JAX-based tool intended for the classical simulation of quantum circuits. Academically, Gabriel holds a PhD in Theoretical Physics from the University of Leeds (2019-2023), a Master's in Mathematics and Applications from Instituto Superior Técnico (2017-2019), and a Bachelor's in Applied Mathematics and Computation from the same institution (2015-2018).
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