Efficient learning of quantum interactions from thermal metastable states
The research develops a method to learn unknown quantum Hamiltonians from thermal systems by using approximate stationary states called metastable states instead of ideal Gibbs states. It proves that local metastability allows for learning with precision independent of system size, providing a robust algorithmic framework for extracting quantum interaction details.