MSc student in Informatics Engineering (Artificial Intelligence) at the University of Coimbra, interested in quantum computing, generative AI and reinforcement learning.
Se estás aqui para o IngenhariaEnformatica é OBRIGATÓRIO deixar estrelinha. Preciso das achievements do GitHub.
- Now: master's thesis on generative AI for quantum error correction.
- G-quAI: student researcher in G-quAI, a quantum AI project for gastrointestinal cancer detection from medical images.
- GFlowQEC: Generative Flow Networks that Learn to Sample Quantum LDPC Codes. N. Batista, G. Falcão, P. Machado. Preprint, 2026. arXiv · code
- Reproducing the Apparent Quantum-Kernel Advantage of Rydberg-Atom DAQCNN Using Classical Nonlinearity. N. Batista, A. Morgado, O. Ferraz, S. S. Pratapsi, J. Lobo, G. Falcão. IEEE QAI 2026, accepted. code
- Progressive Training of Variational Quantum Circuits for Medical Image Classification under Noise Constraints. A. Morgado, N. Batista, O. Ferraz, S. S. Pratapsi, J. Lobo, G. Falcão. IEEE QAI 2026, accepted. code
- Medical Imaging Classification with Cold-Atom Reservoir Computing Using Auto-Encoders and Surrogate-Driven Training. N. Batista, A. Morgado, O. Ferraz, S. S. Pratapsi, J. Lobo, G. Falcão. IEEE QAI 2025. paper · arXiv · code


