Machine Learning in Quantum Communication
Max Rückmann, Sebastian Kleis, Christian G. Schaeffer, Darko Zibar · OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) · 2020
Phase estimation of signals below noise is a main challenge in optical quantum communication receivers. Heterodyne detection at a SNR of less than -20 dB with machine learning based optimized carrier phase estimation is demonstrated.