This is a data base of CSS codes, with n=4..30 and distance up to 5/6. All parameters were saved, including k, x and z stabilizers,, in JSON format. Stabilizer matrices were saved in Matrix Market Format.
##Purpose When doing research related to CSS codes, small samples codes are needed to get quick result or to construct product codes. A database for codes with various parameters will ease this process a lot.
The folder codes only have sample codes. For more data and other versions, please download from Google Drive
https://drive.google.com/drive/folders/1Ju3D4Yif_sBxDkR-sW2LkfWtnPXHSpSU?usp=sharing
File list
| Filename | Size | Codes count | Content |
|---|---|---|---|
| sample.tar | 45M | 34582 | only i1 |
| css-codes-v1.0.tar | 382M | i1 - i10 |
Sample file name:
codes/i1/n6/k4/n6k4d1-x1z1dx1dz1-1Gx.mm
Format: replace <> for allowed parameters
codes/i<>/n<>/k<>/n<>k<>d<>-x<>z<>dx<>dz<>-<>.jsoncodes/i<>/n<>/k<>/n<>k<>d<>-x<>z<>dx<>dz<>-<>Gx.mmcodes/i<>/n<>/k<>/n<>k<>d<>-x<>z<>dx<>dz<>-<>Gz.mm
check out the notebook dataIO.ipynb
run3 as of Feb 14, 2023.
Row index for n, column index for k, and element for d
n=0: [ 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7]
n=1: [ ]
n=2: [ ]
n=3: [ ]
n=4: [ ]
n=5: [ 2 2 ]
n=6: [ 2 2 2 1 ]
n=7: [ 3 2 2 2 1 ]
n=8: [ 3 2 2 2 2 ]
n=9: [ 3 2 2 2 2 1 ]
n=10: [ 3 2 2 2 2 2 2 ]
n=11: [ 3 3 2 2 2 2 2 1 1 ]
n=12: [ 3 3 3 2 2 2 2 2 1 ]
n=13: [ 3 3 3 2 2 2 2 2 2 1 ]
n=14: [ 3 3 3 3 2 2 2 2 2 2 1 ]
n=15: [ 4 3 3 3 3 2 2 2 2 2 2 1 ]
n=16: [ 4 3 3 3 3 2 2 2 2 2 2 2 1 ]
n=17: [ 4 4 3 3 3 3 3 2 2 2 2 2 2 1 ]
n=18: [ 4 4 3 3 3 3 3 2 2 2 2 2 2 2 1 ]
n=19: [ 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 1 ]
n=20: [ 4 4 4 3 3 3 3 3 2 2 2 2 2 2 2 2 1 ]
n=21: [ 4 4 4 4 3 3 3 3 3 2 2 2 2 2 2 2 2 1 ]
n=22: [ 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 ]
n=23: [ 5 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 1 ]
n=24: [ 5 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 ]
n=25: [ 5 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 1 ]
n=26: [ 5 5 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 ]
n=27: [ 5 5 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 1 1 ]
n=28: [ 5 4 4 4 4 4 4 3 3 3 2 3 3 2 2 2 2 2 2 2 2 2 2 1 ]
n=29: [ 5 4 4 4 4 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 1 ]
n=30: [ 5 5 4 4 4 4 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 1 1]