Complex Quantum Matter @ UNICAM

Our research group works on theoretical condensed matter physics, machine learning, deep learning techniques, and many-body quantum physics. We investigate the behavior at the crossroads between condensed matter and quantum many-body physics. Machine learning and other numerical methods are applied to interdisciplinary projects to explore different complex systems.  

We aim to uncover new states of matter and novel coherent quantum phenomena that may lead to potential applications in future quantum technologies. Experimental activities focus on nanostructured and multicomponent superconductors' transport and structural properties.

Systems of interest:

• Superconductors

• Electron-hole superfluids

• Ultracold atom matter

• Complex systems and neural networks

• Adiabatic and gate-based quantum computers

Latest Research