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[[54,4,10]] d ≤
n
54
k
4
d
10
kd²/n
7.407
w
8
X/Z
1

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Distance

X/Z asymmetry 1 · d_X ≤ 10, d_Z ≤ 10 · w_X = 8, w_Z = 8 (max(d_X,d_Z)/min(d_X,d_Z); each side carries its own earned tier: = certified exact, ≤ witness upper bound)
d_X 10 · witness weight 10 (claimed upper_bound)
witness operator (support, 10 qubits)
[5, 9, 12, 13, 32, 33, 41, 44, 48, 49]
d_Z 10 · witness weight 10 (claimed upper_bound)
witness operator (support, 10 qubits)
[5, 7, 8, 14, 33, 38, 39, 40, 41, 44]
certificate none yet · distance stands as a self-certified upper bound (d ≤)

Diagnostics

computed by the verifier from the parity checks, the layout, and the stored witnesses; shown as evidence, not used for ranking
girth H_X 4 · H_Z 4 (shortest cycle of each side’s Tanner graph; longer is friendlier to belief propagation)
check weights H_X 8 · H_Z 8
qubit degrees H_X 3–5 (mean 4.0) · H_Z 3–5 (mean 4.0)
trapping sets H_X (1,3)×27 (2,4)×162 (3,3)×162 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_X
(1,3): 27 (1,5): 27 (2,4): 162 (2,6): 324 (2,8): 108 (3,3): 162 (3,5): 1134 (3,7): 3861 (3,9): 2817 (3,11): 567 (3,13): 27
trapping sets H_Z (1,3)×27 (2,4)×162 (3,3)×162 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_Z
(1,3): 27 (1,5): 27 (2,4): 162 (2,6): 324 (2,8): 108 (3,3): 162 (3,5): 1134 (3,7): 3861 (3,9): 2817 (3,11): 567 (3,13): 27

Circuit tier

syndrome-extraction memory circuits committed under circuits/54-4-10/ · canonical noise recipe, 10 rounds, stim 1.16.0
d_circ ≤ 10 (min over bases; penalty-only, clamped to ≤ d)
d_circ^X 10 · fault-set witness of 10 mechanisms (claimed upper_bound)
witness fault set (mechanism indices in the committed .dem, 10)
[30685, 30688, 30692, 30695, 30696, 30699, 30701, 30704, 30708, 30719]
d_circ^Z 10 · fault-set witness of 10 mechanisms (claimed upper_bound)
witness fault set (mechanism indices in the committed .dem, 10)
[30664, 30668, 30672, 30675, 30679, 30680, 30688, 30689, 30690, 30691]
no measured logical error rate yet; d_circ is a floor, and the measured tier records the prefactor it cannot see

Construction & provenance

authors @FarLab
provenance submitted through the challenge
novelty novelty not audited
construction 2BGA (two-block group algebra) code on group ab(27,) (|G|=27); H_X=[L(a)|R(b)], H_Z=[R(b)^T|L(a)^T] with a = [0, 10, 26], b = [0, 1, 18, 23, 24] as element indices of the Cayley table (identity = 0; table convention in the note)
model Claude Claude Opus 5.5 (claimed, not verified)
date 2026-10-17
family generalized bicycle (a tag, not a ranking)
locality unrestricted (computed from the layout)
weight class weight ≤ 8 (computed)

How this code was found

the research note submitted with this code · raw markdown · all notes

[[54,4,10]] — abelian 2BGA code on Z_27, a = [0, 10, 26], b = [0, 1, 18, 23, 24]

Direction & hypothesis

Track cell: unrestricted x weight-8 (max check weight 8). Target: a point with n' <= 54, k' >= 4, d' >= 10 at check weight <= 8 that no board entry occupies. This code gains on n against [[56,4,10]] (w=8, codes/56-4-10.json). Nearest board points at n' <= 54: [[44,2,10]] (w=8), [[52,2,10]] (w=8), [[54,6,9]] (w=8), [[52,4,9]] (w=8).

Hypothesis: below n = 110 the board's weight-6 two-block entries are close to exhaustive, but abelian two-block group-algebra (2BGA) codes with larger or unequal supports (|a|, |b| in {3, 4, 5}, check weight 7 to 10) are sampled far more thinly, and every abelian group of a given order (not only cyclic groups and two-factor tori) is a separate family. Two earlier independent seeds over equal 4+4 and 5+5 supports kept producing non-dominated points, so this run used fresh seeds and added the unequal 3+4, 3+5 and 4+5 shapes. Board-relative novelty is from verify/validate_candidate.py; literature novelty is unverified (Lin-Pryadko's 2BGA tables, arXiv:2306.16400, and the bivariate-bicycle literature cover many small abelian groups, and this instance may be in them).

What was searched

H_X = [L(a) | R(b)], H_Z = [R(b)^T | L(a)^T] over F_2[G] with G = Z_27 (|G| = 27) built as group_algebra.cyclic_product(27): elements are the tuples in itertools.product order, index = position in that order (identity = 0). a = [0, 10, 26] and b = [0, 1, 18, 23, 24] are lists of element indices (|a| = 3, |b| = 5, check weight 8). G is abelian, so L(a) and R(b) are commuting multivariate circulants (a bivariate-bicycle-type code when G has two factors).

Sweep (research/kit group_algebra.build_2bga, css.compute_k, surrogate.distance_rand with backend gf2_fast, one thread per candidate, 18 worker processes):

  • every abelian group of order 14..55 (n = 2|G| <= 110), supports 4+4 (100,000 random pairs per group), 5+5 (30,000 random pairs per group), identity in both a and b, seed 4021: 9,880,000 candidates built, 3,006,860 with k >= 3, each read at 40 gf2_fast RIS trials against the board's best d at that (n, k, weight) (our own open PRs counted as board entries); 2,095 survivors re-read at 400 trials, 752 unique non-dominated records; refinement (at most 3 per distinct (n, k, d, w)) 20,000 trials: 10 of 10 still advancing, 200,000 trials: 10 of 10 still advancing, 2,000,000 trials: 10 of 10 still advancing.
  • every abelian group of order 14..55 (n = 2|G| <= 110), supports 3+5 (60,000 random pairs per group), 4+5 (60,000 random pairs per group), 3+4 (60,000 random pairs per group), identity in both a and b, seed 6007: 13,680,000 candidates built, 783,190 with k >= 3, each read at 40 gf2_fast RIS trials against the board's best d at that (n, k, weight) (our own open PRs counted as board entries); 216 survivors re-read at 400 trials, 91 unique non-dominated records; refinement (at most 3 per distinct (n, k, d, w)) 20,000 trials: 15 of 15 still advancing, 200,000 trials: 15 of 15 still advancing, 2,000,000 trials: 15 of 15 still advancing.

Left or right translation of a or b is a qubit relabelling, so fixing the identity in both loses nothing. Every screening reading is an upper bound on d, so the funnel can only discard a candidate whose true distance is also non-advancing.

Evidence trail

Packaging witnesses: surrogate.lightest_logical, 8,000 NumPy trials per side, seed 11 -> X-logical of weight 10, Z-logical of weight 10; d = min = 10.

Deep ladder (fresh seeds, surrogate.distance_rand_witness backend gf2_fast, 10 threads):

| trials per seed | seed | side of lightest | lightest logical | time | |---|---|---|---|---| | 10,000,000 | fast seed 66570 | X | 10 | 10.7 s | | 10,000,000 | fast seed 74489 | X | 10 | 10.7 s | | 10,000,000 | fast seed 82408 | X | 10 | 10.8 s |

Ladder verdict: corroborated (min over rungs = 10, claimed 10).

Final claim: witness-backed upper bound d <= 10 (confidence: upper_bound), with d_X <= 10 and d_Z <= 10.

Dead ends

  • 4+4, 5+5 (seed 4021): the 752 stage-1 records fell on only 4 distinct (n, k, d, w) points not dominated by the board or our open PRs: [[36,4,7]] w8 (x413), [[54,4,10]] w10 (x187), [[28,4,6]] w8 (x151), [[96,16,12]] w10 (x1). Every other draw was dominated already at 40-400 trials, so at this sampling depth these shapes are close to exhausted below n = 110.
  • 3+5, 4+5, 3+4 (seed 6007): the 91 stage-1 records fell on only 5 distinct (n, k, d, w) points not dominated by the board or our open PRs: [[54,4,10]] w8 (x46), [[108,4,14]] w7 (x25), [[98,6,14]] w8 (x10), [[90,20,6]] w8 (x7), [[66,4,11]] w9 (x3). Every other draw was dominated already at 40-400 trials, so at this sampling depth these shapes are close to exhausted below n = 110.

Tools

Model: Claude Opus 5.5 (agent harness Claude Code), running on a Brev n2d-highcpu-64 box (gf2_fast via make fast). Kit modules: research/kit/group_algebra.py (build_2bga, cyclic_product), research/kit/css.py, research/kit/surrogate.py, research/kit/prescreen.py, research/kit/submit.py, research/kit/coordination.py (gate). Approximate compute: about 3 CPU-hours for the sweep, refinement and ladder.

Reproduction

import sys; sys.path[:0] = ["research/kit", "verify"]
from group_algebra import build_2bga, cyclic_product
mul, _ = cyclic_product(27)
HX, HZ = build_2bga(mul, [0, 10, 26], [0, 1, 18, 23, 24])   # n = 54, k = 4

Then make_submission(HX, HZ, ..., trials=8000, seed=11) from research/kit/submit.py reproduces the witnesses; the deep ladder used three fresh seeds at the trial counts in the table above.

Parity checks

X-checks 27 (max weight 8) · Z-checks 27 (max weight 8)
H_X (27 checks, sparse supports)
[0, 1, 17, 27, 30, 31, 36, 53] [1, 2, 18, 27, 28, 31, 32, 37] [2, 3, 19, 28, 29, 32, 33, 38] [3, 4, 20, 29, 30, 33, 34, 39] [4, 5, 21, 30, 31, 34, 35, 40] [5, 6, 22, 31, 32, 35, 36, 41] [6, 7, 23, 32, 33, 36, 37, 42] [7, 8, 24, 33, 34, 37, 38, 43] [8, 9, 25, 34, 35, 38, 39, 44] [9, 10, 26, 35, 36, 39, 40, 45] [0, 10, 11, 36, 37, 40, 41, 46] [1, 11, 12, 37, 38, 41, 42, 47] [2, 12, 13, 38, 39, 42, 43, 48] [3, 13, 14, 39, 40, 43, 44, 49] [4, 14, 15, 40, 41, 44, 45, 50] [5, 15, 16, 41, 42, 45, 46, 51] [6, 16, 17, 42, 43, 46, 47, 52] [7, 17, 18, 43, 44, 47, 48, 53] [8, 18, 19, 27, 44, 45, 48, 49] [9, 19, 20, 28, 45, 46, 49, 50] [10, 20, 21, 29, 46, 47, 50, 51] [11, 21, 22, 30, 47, 48, 51, 52] [12, 22, 23, 31, 48, 49, 52, 53] [13, 23, 24, 27, 32, 49, 50, 53] [14, 24, 25, 27, 28, 33, 50, 51] [15, 25, 26, 28, 29, 34, 51, 52] [0, 16, 26, 29, 30, 35, 52, 53]
H_Z (27 checks, sparse supports)
[0, 1, 18, 23, 24, 27, 37, 53] [1, 2, 19, 24, 25, 27, 28, 38] [2, 3, 20, 25, 26, 28, 29, 39] [0, 3, 4, 21, 26, 29, 30, 40] [0, 1, 4, 5, 22, 30, 31, 41] [1, 2, 5, 6, 23, 31, 32, 42] [2, 3, 6, 7, 24, 32, 33, 43] [3, 4, 7, 8, 25, 33, 34, 44] [4, 5, 8, 9, 26, 34, 35, 45] [0, 5, 6, 9, 10, 35, 36, 46] [1, 6, 7, 10, 11, 36, 37, 47] [2, 7, 8, 11, 12, 37, 38, 48] [3, 8, 9, 12, 13, 38, 39, 49] [4, 9, 10, 13, 14, 39, 40, 50] [5, 10, 11, 14, 15, 40, 41, 51] [6, 11, 12, 15, 16, 41, 42, 52] [7, 12, 13, 16, 17, 42, 43, 53] [8, 13, 14, 17, 18, 27, 43, 44] [9, 14, 15, 18, 19, 28, 44, 45] [10, 15, 16, 19, 20, 29, 45, 46] [11, 16, 17, 20, 21, 30, 46, 47] [12, 17, 18, 21, 22, 31, 47, 48] [13, 18, 19, 22, 23, 32, 48, 49] [14, 19, 20, 23, 24, 33, 49, 50] [15, 20, 21, 24, 25, 34, 50, 51] [16, 21, 22, 25, 26, 35, 51, 52] [0, 17, 22, 23, 26, 36, 52, 53]
Code ID 54-4-10 · download JSON · raw on GitHub