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
Machine learning for optimal control of quantum devices
