Papers
A variable structure approach that grows and removes gates to keep quantum circuits shallow. Mitigates trainability and noise issues in variational algorithms. Demonstrated on VQE, quantum autoencoders and unitary compilation.
Reinforcement learning agent that calibrates adaptive quantum receivers from scratch. Learns near-optimal setups under trial-and-error episodes. Benchmarked against Helstrom bound and Kennedy/Dolinar receivers.
Extends RL-based receiver calibration to fading channels with variable transmissivity. Shallow RL methods achieve near-optimal performance. Presented at the IEEE Information Theory Workshop.
Sequential analysis of streaming measurement data for quantum hypothesis testing. Stopping-time strategies outperform fixed-time approaches. Resource savings by a factor of 3-4 in optomechanical case studies.
Analysis of conditional states and quantum correlations in hybrid qudit-qubit systems. Explores entropic measures of quantum discord. Published as part of the licenciatura thesis work at UNLP.
RL-based automatic recalibration for drifting quantum devices. Supervised master thesis work awarded Mención Masperi AFA 2024. Best master thesis in Physics in Argentina.
Hybrid classical-quantum architecture for vectorised image classification of hand-written sketches pdf
Vectorized sketch representations combined with hybrid classical/quantum models. Benchmarked on QuickDraw sketch recognition with small-qubit circuits. Supervised master thesis at CVC-UAB.
A multi-disciplinary teaching methodology for AI students combining device-building with social impact analysis. Piloted at UAB with strong student reception. Published methodology for EDULEARN24.
System linking Spotify songs to clothing pattern generation via color palette extraction. Uses k-means clustering and Rhino/Grasshopper for design. Part of the UAB-Cruilla Chair on AI and music.
Theses
Decision-making in quantum environments: from model-free to model-aware learning of quantum controls pdf
Reinforcement learning methods for quantum control, from model-free to model-aware approaches. Directed by Prof. John Calsamiglia. Defended with grade 10/10 and Cum Laude distinction.
Conditional entropy and quantum correlations in hybrid qudit-qubit systems. Directed by Prof. Raúl Rossignoli and Prof. Norma Canosa. Defended with grade 10/10, graduated with honours.