Experimental Phase Estimation Enhanced by Machine Learning just published in Physical Review Applied with an Editors’ suggestion
Phase estimation has applications from quantum imaging to gravitational-wave detection. In areas such as biological-system sampling or quantum metrology, it is crucial to optimally acquire information from a very limited number of probes. To address this need, the authors describe and experimentally verify a machine-learning method for optimal adaptive single-photon phase estimation based on a … Continua a leggere