Sensitivity versus selectivity in entanglement detection via collective witnesses
Sensitivity versus selectivity in entanglement detection via collective witnesses
In this paper, we introduce a supervised learning technique that harnesses artificial neural networks, along with the outcomes of collective entanglement measurements, to estimate the negativity of quantum states in two-qubit and qubit-qutrit systems. The resulting deep-learned collective entanglement witnesses offer the unique capability of continuous sensitivity and selectivity tuning. …