Figure 3
From: Robust and fast post-processing of single-shot spin qubit detection events with a neural network
Detection of a Rabi-driven single electron spin analysed by different post-processing methods. (a) Spin \({|{\uparrow }\rangle }\)-probability \(P({|{\uparrow }\rangle })\) as a function of the driving time t. The same measurement traces are classified by the Bayesian inference filter, and the neural networks B, C and D. Solid lines are fits to Eq. (3). (b) \(P({|{\uparrow }\rangle })\) from panel (a) classified by the neural networks B, C and D each subtracted by \(P({|{\uparrow }\rangle })\) classified by the Bayesian inference filter (colors equal to panel a).
