Published December 18, 2024 | Version v1
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Datasets for "Quantum-Enhanced Multi-Parameter Sensing in a Single Mode"

  • 1. University of Sydney
  • 2. ROR icon University of Bristol
  • 3. ROR icon Macquarie University
  • 4. ROR icon RMIT University
  • 5. ROR icon University of Melbourne
  • 6. The University of Sydney

Description

Datasets for Figures 2, 3 and 4 of the manuscript "Quantum-Enhanced Multi-Parameter Sensing in a Single Mode" (arXiv:2412.04865, 2024).

 

grid_metrological_gain.csv contains the experimental data plotted in Figure 2(b).

 

grid_chis_delta_061.csv, grid_chis_delta_037.csv, grid_chis_delta_030.csv, contains the experimental data plotted in Figures 2a, i-iii. They correspond to reconstructed characteristic functions for grid states with target squeezing parameters of Delta = 0.61, 0.37 and 0.30, respectively.

 

grid_qpe_non_adaptive.csv contains the experimental data plotted in Figure 3(a,b), corresponding to non-adaptive QPE. It contains both the individual variances, and their combined variance.

 

grid_qpe_adaptive.csv contains the experimental data plotted in Figure 3(a,b), corresponding to adaptive QPE. 

 

np_sin_chis_nbar_10.csv contains the experimental data plotted in Figure 4(c), corresponding to the reconstructed characteristic function of a number-phase state with a sine envelope and <n> = 10.

 

np_metrological_gain.csv contains the experimental data plotted in Figure 4(d). It contains both the invidual variances of number and phase, and the summed variances after resclaing.

Files

grid_chis_delta_030.csv

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Additional details

Related works

Is supplement to
Preprint: arXiv:2412.04865 (arXiv)