Real-time calibration of coherent-state receivers: learning by trial and error. - Matías Bilkis; Matteo Rosati; R. Morral Yepes; John Calsamiglia (CoRR, 2020)

Reinforcement-learning calibration of coherent-state receivers on variable-loss optical channels. - Matías Bilkis; Matteo Rosati; John Calsamiglia (ITW, 2021)

A semi-agnostic ansatz with variable structure for quantum machine learning. - Matías Bilkis; Marco Cerezo; Guillaume Verdon; Patrick J. Coles; Lukasz Cincio (CoRR, 2021)

A semi-agnostic ansatz with variable structure for variational quantum algorithms. - Matías Bilkis; Marco Cerezo; Guillaume Verdon; Patrick J. Coles; Lukasz Cincio (Quantum Mach. Intell., 2023)

Automatic re-calibration of quantum devices by reinforcement learning. - T. Crosta; Lorena Rebón; Fernando Vilariño; J. M. Matera; Matías Bilkis (CoRR, 2024)

Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence. - Matías Bilkis; Joan Moya Kohler; Fernando Vilariño (CoRR, 2024)

Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches. - Y. Cordero; S. Biswas; Fernando Vilariño; Matías Bilkis (CoRR, 2024)

Music-triggered fashion design: from songs to the metaverse. - Martina Delgado; Marta Llopart; Eva Sarabia; Sandra Taboada; Pol Vierge; Fernando Vilariño; Joan Moya Kohler; Julieta Grimberg Golijov; Matías Bilkis (CoRR, 2024)

Sequential hypothesis testing for continuously-monitored quantum systems. - Giulio Gasbarri; Matías Bilkis; Elisabet Roda-Salichs; John Calsamiglia (Quantum, 2024)

Decision-making in quantum environments: from model-free to model-aware learning of quantum controls - Matías Bilkis (2024)