P. Verrucchi

Learning Topological Quantum Phases from Limited Subsystems

A data-efficient supervised learning framework that circumvents this limitation by recognizing quantum phases from small subsystems by utilizing a quantum kernel constructed from the reduced density matrices of these subsystems, which can be efficiently estimated experimentally.