Dataset for "Measurement-Induced Crossover of Quantum Jump Statistics in Postselection-Free Many-Body Dynamics"
Authors/Creators
Description
Dataset for the Python language.
The "np" stands for the abbreviation for "numpy".
MICJumpStatistics.zip:
The folder "Variance" includes the two-dimensional array for the set [SFQJ, variance in the total system] for the measurement strengths \gamma=0.05, 0.1, ..., 1.
If you load one of them like
$ variance_array_8=np.load("variance_8.npy")
and print it as
$ variance_array_8[:, 0]
you can obtain SFQJ for \gamma=0.05, 0.1,..., 1 for L=8, and the same for the variance in the total system as
$ variance_array_8[:, 1]
In the folder "singlesite" inside "Variance", you can obtain the variance for a single site (e.g., for L=8) as
$ variance_array_8=np.load("variance_8.npy")[:, 0]
The folder "LiouvillianGap" includes the two-dimensional array for the Liouvillian gap.
You can access them by loading the files as
for the Heisenberg model.
For the XX model, you should load them as
instead.
The folder "Autocorrelation" includes the two-dimensional array for the integrated autocorrelation function.
If you load one of them like
$ physical_quantities_2D_4=np.load("physical_quantities_2D_4.npy")
and print it as
MICJumpStatistics_add.zip:
In the folder "QuarterFIlling" inside "Variance", you can obtain SFQJ for quarter-filling conditions.
In "L20_gamma1", you find the data for L=20 with \gamma=1 at half filling.
The way to load them are similar to those described in MICJumpStatistics.zip
Files
MICJumpStatistics.zip
Additional details
Related works
- Is supplement to
- Dataset: arXiv:2503.02418 (arXiv)
Dates
- Created
-
2025-03-06
- Updated
-
2025-07-01