Research
Advancing Computational Intelligence and Quantum Artificial Intelligence.
Our Research Pillars
Our research is organized around two complementary pillars: Computational Intelligence and Quantum Artificial Intelligence. Together, they support the development of adaptive, efficient, and intelligent methods for learning, optimization, reasoning, and decision-making.
Quantum Artificial Intelligence
We investigate the bidirectional interplay between quantum computing and artificial intelligence. Our research explores both how quantum technologies can enable new models for learning, optimization, reasoning, and decision-making, and how artificial intelligence can support the design, training, optimization, and control of quantum systems and algorithms. In this scenario, QUASAR acted as a pioneer research centre in the implementation of the following frameworks:
Computational Intelligence
We investigate the fundamental paradigms of Computational Intelligence, with a focus on fuzzy systems, neural networks, and evolutionary computation. Our research explores how these complementary approaches can be combined to develop adaptive, explainable, and intelligent systems capable of learning from data, reasoning under uncertainty, optimizing complex processes, and supporting autonomous decision-making across a wide range of scientific and engineering applications. In this context, we have developed the following research activities:
