Applications of model-aware reinforcement learning in Bayesian quantum
metrology
Applications of model-aware reinforcement learning in Bayesian quantum
metrology
An important practical problem in the field of quantum metrology and sensors is to find the optimal sequences of controls for the quantum probe that realize optimal adaptive estimation. In Belliardo et al., arXiv:2312.16985 (2023), we solved this problem in general, by introducing a procedure capable of optimizing a wide …