Sixteen Signals Expose the Entangled State

EntNet learns combinations of experimentally measurable Pauli correlators that distinguish entangled mixed states from fully separable ones. From local-unitary-invariant features up to four-body order, the system sparsely selects sixteen channels and models their spatial organization with a transformer. The authors report more than 98 percent recall on certified entangled states with near-zero false positives on separable states, plus transfer across system sizes, frustrated models and disordered Hamiltonians. Its learned finite-temperature boundary follows the excitation gap in the analyzed setting; physical deployment still depends on measurement quality and the tested model families.