Embedded Files
Left to right: Giovanni Midei, Victor Velasco, Luis Ardila, Sebastiano Pilati, Andrea Perali, Nicola Pinto,
Simone Cantori, Luca Brodoloni, Andrea Della Valle and Verdiana Piselli. CQM-Unicam, May 30 2024.
Not Included: Carlo Lucheroni, Filippo Pascucci, Meenakshi Sharma and Gabriele Spada.
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
Modified mean-field ansatz for charged polarons in a Bose-Einstein condensate
Letter and Editor's suggestion
U. Cavazos Olivas, Luis A. Peña Ardila, and K.Jachymski
Phys. Rev. A 110, L011301 July 2024
Attractive Solution of Binary Bose Mixtures: Liquid-Vapor Coexistence and Critical Point
G. Spada, S. Pilati, and S. Giorgini. PRL. 131, 173404 2023
Non-equilibrium dynamics of dipolar polarons
A. G. Volosniev, et.al; SciPost Phys. 15, 232 (2023)
Giant amplification of BKT transition temperature in semiconductors
Giovanni Midei and Andrea Perali 2024 Phys. Scr. 99 045216
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