Detuning-scan simulations · interactive HDF5 viewer
| Mode freq. (2π MHz) | 1.3 |
| Thermal ⟨n⟩ | 0.001 |
| Eff. η | 0.397 |
| Rabi rate (2π MHz) | 0.300 |
| Eff. carrier Rabi (2π MHz) | 0.277 |
| Laser detuning (2π MHz) | 0.0 |
| AOM setup | fast |
| Modulation | Stroboscopic |
| Mod. freq. (2π MHz) | 1.3 |
| Pulse duration (μs) | 0.04 |
| Duty cycle | 0.052 |
| Pulses in train | 326 |
| AC Strobo π/2 length (μs) | 17.0 |
Detuning scans at maximum momentum for displaced coherent states. Click to load HDF5 data and render interactively.
Select a dataset above to view the detuning spectrum.
Each HDF5 file contains one group per dataset with the structure:
| Dataset | Shape | Description |
|---|---|---|
detuning | (N,) | Detuning in units of 2π ωLF |
sigma_x | (N,) | ⟨σx⟩ |
sigma_y | (N,) | ⟨σy⟩ |
sigma_z | (N,) | ⟨σz⟩ |
entropy | (N,) | Von Neumann entropy |
coherence | (N,) | Bloch vector length |
Attributes on the root group store simulation parameters: alpha, eta, omega_m, omega_rabi, n_thermal, aom_setup, contrast_x/y/z.
To generate these files from your adaptive-learner output, use scripts/export_hdf5.py. To produce Harbour-styled SVG figures, use scripts/plot_detuning_harbour.py.