Research & Activities
We conduct research at the intersection of quantum physics and computer science, while actively contributing to education, collaboration, and technology transfer.
Core Activities
Basic and Applied Research
Rigorous study of the foundations and theoretical models underlying quantum information and computation, as well as their technological applications.
Human Resource Development
Continuous training through teaching undergraduate and graduate courses, supervision of theses, and mentoring of research fellows.
Academic and Scientific Events
Organization of seminars, workshops, and conferences to disseminate advances and foster interdisciplinary exchange.
Technology Transfer
Exploration of pathways for transferring knowledge and quantum technologies to industry and society.
Research Lines
Characterization and Benchmarking of Quantum Systems
We develop tools for the characterization of quantum systems in the NISQ era, where direct observation is fundamentally limited. These methods are crucial for progressing towards fault-tolerant quantum computation.
Quantum Correlations and Applications
We study quantum correlations and their role as a resource, enabling applications such as secure key distribution and certified randomness generation.
Quantum Models of Computation and Randomness
Using tools from computability and complexity theory, we study whether quantum computational models can detect more structure than classical ones, potentially enabling efficient generation of high-quality deterministic randomness.
Quantum Resource Theories
We explore the role of quantum resources — from coherence to entanglement and beyond — in information processing under restricted sets of operations.
Certification of Quantum Teleportation
We design certification methods that go beyond average fidelity, incorporating robustness to noise and ensuring the integrity of transmitted quantum states.
Quantum Machine Learning and Applications
Research on quantum-enhanced machine learning and variational quantum algorithms, with emphasis on: (i) knowledge graphs and network analysis, including link prediction and community detection; (ii) quantum optimization algorithms for high-complexity problems; and (iii) machine learning techniques applied to quantum cryptography and quantum information tasks.