
Data sets to recreate the figures of the manuscript. The number of each filename corresponds to the figure. Manuscript is in submission; the DOI of the manuscript:https://doi.org/10.1103/z6lc-qw2d All data is saved as .csv files. Analysis performed with Python. 3a. Bins in seconds; Counts per trial.3b. Density matrix. 4. Infidelites per basis and pair 5. X-axis: detection window in nanoseconds5. Y-axis: Counts per trial per pair5. Y-axis2: Fmin Minimum fidelity5. Y-axis2: Fmax Maximum fidelity5. Y-axis2: F Average fidelity 7X: Bins in nanoseconds, Counts per trial measured in X7-X: Bins in nanoseconds, Counts per trial measured in -X 8a. Infidelity per qubit basis and memory cell.8b_F. Average fidelity per memory cell8b_Fmin. Minimum average fidelity per memory cell8b_Fmax. Maximum average fidelity per memory cell. 9xaxis. Window in nanoseconds9_yaxis. Counts per trial per cell.9_yaxis2_F Fidelity per cell9_yaxis2_Fmin Minimum Fidelity per cell9_yaxis2_Fmax Maximum Fidelity per cell 11. Phase in pi and counts per trial for pair (5,6).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
