Gabriel Matos
Hi! My name is Gabriel, and I am currently a Research Scientist at Quantinuum working on quantum algorithms and applications of artificial intelligence in quantum computing.
Before joining Quantinuum, I completed a PhD in Theoretical Physics at the University of Leeds supervised by Zlatko Papić and Jiannis Pachos. My research during that time was focused on quantum many-body physics and variational quantum algorithms. You can find my PhD thesis here.
Before that, I completed a BSc and an MSc in Mathematics at the Instituto Superior Técnico, University of Lisbon. You can find my master's thesis here.
You can find a full list of my publications below.
Publications & Preprints
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Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation PassesarXiv:2601.21629 (2026)You Only Measure Once: On Designing Single-Shot Quantum Machine Learning ModelsarXiv:2509.20090 (2025)Trainability of Parametrised Linear Combinations of UnitariesarXiv:2506.22310 (2025)Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesisQuantum Recurrent Architectures for Text ClassificationScalable and interpretable quantum natural language processing: an implementation on trapped ionsarXiv:2409.08777 (2024)Quixer: A Quantum Transformer ModelarXiv:2406.04305 (2024)qujax: Simulating quantum circuits with JAXCharacterization of variational quantum algorithms using free fermionsLaughlin states change under large geometry deformations and imaginary time Hamiltonian dynamicsEmergence of Gaussianity in the thermodynamic limit of interacting fermionsQuantifying the efficiency of state preparation via quantum variational eigensolversKernel maps and operator decomposition