Fig. 3: Measuring qubit stability using time-resolved GST. | Nature Communications

Fig. 3: Measuring qubit stability using time-resolved GST.

From: Detecting and tracking drift in quantum information processors

Fig. 3: Measuring qubit stability using time-resolved GST.

The results of two time-resolved GST experiments using the gates Gi, Gx, and Gy, with drift compensation added for the second experiment. a, b The evidence for instability in each circuit in the first experiment, quantified by \({\lambda }_{{\rm{p}}}=-{\mathrm{log}\,}_{10}({\rm{p}})\) where p is the p-value of the largest power in the spectrum for that circuit. A pixel is colored green when λp is large enough to be 5% statistically significant, otherwise, it is greyscale. Each circuit consists of repeating a “germ” sequence in between six initialization and pre-measurement sequences. The data is arranged by germ and approximate circuit length L, and then separated into the 6 × 6 different preparation and measurement sequence pairs, as shown on the axes of B (“{}” denotes the null sequence). Only long circuits containing repeated applications of Gi exhibit evidence of drift. In the second experiment, none of the λp are statistically significant (data are not shown). c, d Time-resolved tomographic reconstructions of the gates in each experiment, summarized by the diamond distance error of each gate, and the decomposition of the coherent errors in Gi into rotation angles around \(\hat{x}\), \(\hat{y}\) and \(\hat{z}\) (\({t}_{\max }\approx 5.5\) h and \({t}_{\max }\approx 40\) h for the first and second experiment, respectively). e The power spectrum for each experiment obtained by averaging the individual power spectra for the different circuits, with filled points denoting power above the 5% significance thresholds (the thresholds are not shown).

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