Study the dimension–distance tradeoff obtained by selecting stabilizer subgroups and changing sparse presentations.
Known Okada-Kasai pair-partition CPM parent, literal codimension-three CSS subgroups in each sector
The displayed presentation has maximum check weight 20, maximum qubit degree 10, 44 checks and total incidence 640.
The JSON contains weight-6 logical witnesses. Distance confidence: X: upper_bound, Z: upper_bound.
Recorded workflow configuration: GPT-6 Astra + GPT-6.1 Sol. Official tooling: verify/qldpc_verify.py.
Read codes/84-40-6.json. Allocate zero binary matrices H_X and H_Z with 84 columns. For each row list in checks.X or checks.Z, set the listed zero-based columns to 1, preserving row order. This reconstructs the displayed presentation exactly.
Parent-basis parity functionals: {"X":[12312,826,34242],"Z":[8970,346,18455]}.
Selected sector coefficient masks: {"X":{"functionals":[12312,826,34242],"selected_coefficients":[1,4,2048,16384,65536,131072,262144,524288,1048576,2097152,4194304,8388608,16777216,33030271,544,1088,32832,524160,192,14568859,20083545,27056563]},"Z":{"functionals":[8970,346,18455],"selected_coefficients":[32,128,1024,4096,32768,65536,131072,262144,524288,1048576,2097152,4194304,8388608,16777216,33030271,264,18432,2052,8175,8704,16385,27053529]}}.
CPM lift parameters: {"p":7,"J":4,"L":12,"EX":[[0,4,0,4,5,6,2,4,5,0,4,6],[5,1,6,3,5,1,3,1,6,3,0,3],[3,0,5,0,2,6,3,1,6,6,3,6],[4,3,2,4,1,4,2,1,6,1,2,1]],"EZ":[[4,0,1,6,5,5,6,0,6,2,4,5],[1,6,0,4,2,0,2,5,0,4,5,6],[1,3,5,0,6,1,5,5,6,6,6,4],[4,4,5,6,5,2,2,2,2,3,6,6]]}.
Public source: 84-34-6, contributed by Koki Okada and Kenta Kasai.
Construction references:
Local validation: the official verify/validate_candidate.py passed, including independent-seed distance refutation.