# See below
This is a README file that copies the text files included in the zip file for convenience.

This zip file contains two main subfolders. The two subfolders correspond to two sets of data: `two_qubit_data' for the data used to generate the graphs in the `2 qubit', and `chain' for the set of data
used to generate the graphs in the XX chain section.

See each subfolder text file for further Guidance.

## Subfolder `two_qubits_data'

Use the file `Plot.m' to generate all relevant graphs in the paper. Each section of the code generates different graphs.
Please check the individual comments at the start of each section in `Plot.m', and the in-line comments therein.
```Be sure to change the path to where the data is located: line 13 and line 94 `Plot.m''''

Guidance to subfolder:
`eta0'--- data for measurement efficiency η=0
`eta0.2'--- data for measurement efficiency η=0.2
`eta0.4'--- data for measurement efficiency η=0.4
`eta0.6'--- data for measurement efficiency η=0.6
`eta0.8'--- data for measurement efficiency η=0.8
`eta1'--- data for measurement efficiency η=1
The subfolder `large_g_and_large_lambda' contains data of larger measurement strength and larger noise strength of measurement efficient 1. There were not shown in
the main text, and are here to show that the minimum or maximum appears to exist for larger measurement strength.

IMPORTANT info regarding the variables:
`pari'--- trajectory-averaged half-system parity variance
`puri'--- trajectory-averaged half-system purity
`concur'--- trajectory-averaged concurrence
`corre'--- trajectory-averaged 2-point correlator (not shown in paper)
`negat'--- trajectory-averaged half-system negativity
`gamma_list'---the list of the values of noise strength Γ
`lambda'---the list of the values of measurement strength λ

The file `Twoqubitgaussian.m' is the code which generated all the data used in the paper.


Please read the comments in the code as most of them are useful.

## Subfolder `chain'

Use the file `plotting.m' to generate all relevant graphs in the paper. Each section of the code generates different graphs.
Please check the individual comments at the start of each section in `plotting.m', and the in-line comments therein.
All data are included in the subfolder `results'
```Be sure to change the path to where the data is located: line 18 in `plotting.m'.'''

Guidance to subfolders in `results'
`eta0.4'--- data for measurement efficiency η=0.4
`eta0.8'--- data for measurement efficiency η=0.8
`eta1'--- data for measurement efficiency η=1
In each `eta...' subfolder, there are more subfolders which contains the data for differen system size:
`L4'--- data for system size L=4
`L6'--- data for system size L=6
`L8'--- data for system size L=8
`L10'--- data for system size L=10

IMPORTANT info regarding the variables
`pari'--- trajectory-averaged half-system parity variance
`negat'--- trajectory-averaged half-system negativity
`gamma_list'---the list of the values of noise strength Γ
`lambda'---the list of the values of measurement strength λ
`eta'---the measurement efficiency

The file `chain.m' is the code that generated all the data used in the paper.

Please read the comments in the code as most of them are useful.