Published March 6, 2025 | Version v2

Dataset for "Measurement-Induced Crossover of Quantum Jump Statistics in Postselection-Free Many-Body Dynamics"

  • 1. ROR icon Tokyo Institute of Technology
  • 2. ROR icon RIKEN

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

#### gamma = [0.05, 0.1, ..., 1] ####
physical_quantities_2D_8=np.load("physical_quantities_2D_8.npy")[:, 0]
physical_quantities_2D_10=np.load("physical_quantities_2D_10.npy")[:, 0]
physical_quantities_2D_12=np.load("physical_quantities_2D_12.npy")[:, 0]
#### gamma = [0.5, 0.55, ..., 1] (γ is different from the other data due to the convergence problem) #### 
physical_quantities_2D_14=np.load("physical_quantities_2D_14.npy")[:, 0]

for the Heisenberg model.

For the XX model, you should load them as

#### gamma = [0.05, 0.1, ..., 1] ####
physical_quantities_2D_10=np.load("physical_quantities_2D_10.npy")[:, 0]
#### gamma = [0.5, 0.55, ..., 1] (γ is different from the other data due to the convergence problem) ####
physical_quantities_2D_8=np.load("physical_quantities_2D_8.npy")[:, 0]
physical_quantities_2D_12=np.load("physical_quantities_2D_12.npy")[:, 0]
physical_quantities_2D_14=np.load("physical_quantities_2D_14.npy")[:, 0]

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

Files (130.5 kB)

Name Size
md5:96897dba22d0e697c884ef951a0294d4
72.4 kB Preview Download
md5:32df65aaaa5bf0dc306c9a6ee32086e3
58.1 kB Preview Download

Additional details

Related works

Is supplement to
Dataset: arXiv:2503.02418 (arXiv)

Dates

Created
2025-03-06
Updated
2025-07-01