Real-time calibration of coherent-state receivers: Learning by trial and error
M. Bilkis, Matteo Rosati, Raúl Morral-Yepes, John Calsamiglia · Physical Review Research · 2020
This paper casts the discrimination of two coherent states of light as a reinforcement learning problem, in which an agent has to choose among a large number of configurations of a receiver, composed of simple linear optics elements, on/off photodetectors and feedback.