CHAI Research Talk: Nicola Lanatà, Assistant Professor, Department of Physics & Astronomy, College of Science, RIT
When: November 06, 2023, 12:00 pm–1:00 pm
Where: Golisano Hall, GOL CYB-1710/1720
The simulation of strongly correlated matter remains a major challenge in condensed matter physics, due to the high computational cost of existing methods. In this seminar, I will present a new approach that combines quantum-embedding frameworks with active learning techniques to overcome this obstacle. The active learning component allows for bypassing the most computationally expensive parts of quantum-embedding algorithms, rendering them more efficient and cost-effective. Preliminary data of the Hubbard model will be presented, illustrating the accuracy and potential of the method. The proposed framework opens up new possibilities in condensed matter physics, chemistry, and materials science.