Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation

Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time, or nonclassical quantum states. The adaptive Bayesian approach to parameter estimation allows an efficient use of reso...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Lukas J. Fiderer, Jonas Schuff, Daniel Braun
Format: Artikel
Sprache:English
Veröffentlicht: American Physical Society 2021-04-01
Schriftenreihe:PRX Quantum
Online Zugang:http://doi.org/10.1103/PRXQuantum.2.020303