npj Quantum Information: Finding bias triangles with deep reinforcement learning


Deep reinforcement learning is an emerging machine learning approach which can teach a computer to learn from actions and rewards similar to the way humans learn from experience. Here, we use this approach for fully automatic identification of double dot bias triangles in a surface gated GaAs device. Oxford - Basel Collaboration lead by Natalia Ares (Oxford). 
Nguyen et al., npj Quantum Information 7, 100 (Jun 18, 2021)