2 papers
quant-ph2026
Distinguishing Ordered Phases using Machine Learning and Classical Shadows
Leandro Morais, Tiago Pernambuco, Rodrigo G. Pereira +3
Classifying phase transitions is a fundamental and complex challenge in condensed matter physics. This work proposes a framework for identifying quantum phase transitions by combin…
cond-mat.supr-con2025
Predicting topological invariants and unconventional superconducting pairing from density of states and machine learning
Flavio Noronha, Askery Canabarro, Rafael Chaves +1
Competition between magnetism and superconductivity can lead to unconventional and topological superconductivity. However, the experimental confirmation of the presence of Majorana…