Smart quantum technology for the spatial mode correction of single photons
Spatial modes of light constitute valuable resources for various quantum technologies ranging from quantum communication and quantum imaging to remote sensing. In any case, their vulnerabilities to phase distortions, prompted by random media, impose significant limitations on the realistic implementation of various quantum‐photonic technologies. Unfortunately, this problem is exacerbated at the single‐photon level. Over the last two decades, scientists have solved this problem through conventional schemes that utilize optical nonlinearities, quantum correlations, and adaptive optics. In a new study, scientists from Louisiana State University have introduced a smart quantum technology for single photons’ spatial mode correction. They used self-learning and self-evolving features of artificial neural networks to correct the distorted spatial profile of single photons. Ph.D. candidate Narayan Bhusal said, “In this paper, we use artificial neurons to correct distorted spatial modes of ligh...