We are thrilled to share our research on the quantification of quantum entanglement using artificial neural networks. Our approach allows us to accurately measure entanglement without requiring complete knowledge of the quantum state. By leveraging neural networks, we achieve a
Machine learning for optimal control of quantum devices
Quantum processors and sensors promise to outperform their classical counterparts. Still, they require classical control signals, which affect their operation in a highly nontrivial way. An example: electrical voltages controlling a photonic chip or a superconducting circuit. We developed a