Figure 2 | Scientific Reports

Figure 2

From: Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm

Figure 2

(a) Ideal micromotion broadening of the transition fluorescence in a two-level system as a function of the micromotion amplitude [\(\beta \)] and laser detuning (\(\delta \)) in the low intensity limit (Eq. 1). For our 370 nm transition the fluorescence rate is proportional to the \(^2\)P\(_{1/2}\) excited state population. The laser frequency detuning \(\delta =-7.8\) MHz, the natural linewidth \(\gamma = 20\) MHz and the RF trap drive frequency \(\Omega =25.5\) MHz. Heating/cooling dynamics are neglected. Our optimizations occur in the low beta (\(<1\)) limit. (b) The photon count improvement using ADAM starting from manually optimized voltage set weights. This graph demonstrates a \(78\pm 1\%\) improvement in ion fluorescence. The error bars are a combination of the readout error of the PMT and peak to peak variations in the photon count whilst not optimizing. The background photon count here is 1184 ± 34 counts/s.

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