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[[32,16,3]] d ≤
n
32
k
16
d
3
kd²/n
4.5
w
8
X/Z
1
g
0.0139
r
4.2426
layers
2
swaps
25

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Distance

X/Z asymmetry 1 · d_X ≤ 3, d_Z ≤ 3 · 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 3 · witness weight 3 (claimed upper_bound)
witness operator (support, 3 qubits)
[15, 22, 25]
d_Z 3 · witness weight 3 (claimed upper_bound)
witness operator (support, 3 qubits)
[22, 28, 31]
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 4–8 (mean 7.5) · H_Z 6–8 (mean 7.75)
qubit degrees H_X 1–3 (mean 1.875) · H_Z 1–3 (mean 1.938)
trapping sets H_X (1,1)×8 (2,1)×51 (3,0)×54 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_X
(1,1): 8 (1,2): 20 (1,3): 4 (2,1): 51 (2,2): 99 (2,3): 38 (2,4): 2 (3,0): 54 (3,1): 257 (3,2): 456 (3,3): 376 (3,4): 180 (3,5): 51 (3,6): 4
trapping sets H_Z (1,1)×8 (2,1)×45 (3,0)×44 (smallest syndrome weight at each size, connected sets of up to 3 qubits)
full (size, syndrome weight): count census for H_Z
(1,1): 8 (1,2): 18 (1,3): 6 (2,1): 45 (2,2): 89 (2,3): 56 (2,4): 9 (3,0): 44 (3,1): 231 (3,2): 448 (3,3): 454 (3,4): 249 (3,5): 91 (3,6): 16 (3,7): 1
witness diameter X 3.6056 · Z 1.4142 (Euclidean support diameter of the stored distance witnesses in the layout; an upper bound on the exhibited logicals’ spread, not a minimum over all logicals)

Verified 2D layout

as measured by the verifier: every check drawn over the submitted coordinates; the interaction radius is the longest dashed pair
r = 4.243
X checkZ checkqubit site (16)2 qubits stacked (2 layers)dashed: the pair setting the interaction radiushover a check to isolate its qubits; click to pin — repeated clicks cycle through overlapping checks; click empty space to release
routing cost 25 nearest-neighbor SWAPs per round in total, at most 5 for one check (heuristic: MST lower bound on the layout, with one lattice step = the minimum qubit spacing 1; not a rank)

Construction & provenance

authors @vprusso
provenance submitted through the challenge
novelty novelty not audited
construction SAT search (research/local_sat.py build_local_cnf with the grid site list repeated 2 times, n_side=4, G=8, max_weight=8, t=2 detection, anchor radius 3.5, shared_t3 encoding, CaDiCaL 1.9.5 via python-sat) over bilayer 2D-local CSS codes: 2 qubits per site of a 4x4 grid (layers=2), each check anchored at a grid site and acting within radius 3.5 of it, so the interaction radius is at most 7.0 by construction. Model index 0 of the enumeration; distance is a witness-backed upper bound.
model Claude Claude Fable 5.1 (Claude Code) (claimed, not verified)
date 2026-09-26
notes Phase 2 (bilayer) of the 2D-local SAT t=2+ campaign (issue #2024); instance b4_G8_w8_t2. Distance is an upper bound from the kit's RIS witness search at 20000 trials per side.
family local-sat-css (a tag, not a ranking)
locality 2D-local bilayer (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

[[32,16,3]]: bilayer 2D-local weight-8 CSS code from a t=2 SAT search, two qubits per site of a 4x4 grid

Direction & hypothesis

Cell: weight-8 x local-2d-bilayer. At n <= 32 and d >= 3 the weight-8 bilayer cell is led by the two-layer tile codes codes/30-14-3.json (k = 14) and codes/28-10-3.json, with codes/24-10-4.json and codes/32-8-4.json at d = 4. For a full-rank model k = n - 2G, so G=8 forces k >= 16; the column-count bound G >= 2n/(w+1) = 7.1 makes it the lowest rung that can hold a t >= 2 code.

What was searched

research/local_sat.py build_local_cnf with the grid site list repeated twice (each of the 16 sites of the 4x4 integer grid carries two qubits at the same coordinate, n = 32; in code, local_sat._grid_sites is replaced by a version that yields every site twice, the one-line layers extension of the single-layer encoder), G=8 checks per side anchored at a grid site and acting within anchor radius 3.5 of it (check diameter at most 7.0, the bilayer cap; on the 4x4 grid the farthest sites are 4.24 apart, so the radius constrains nothing and the instance is the weight-bounded CSS search at n = 32 with a bilayer-honest layout by construction), row weight at most 8, CSS commutation, nonzero syndrome for every Pauli error of weight at most 2. CaDiCaL 1.9.5 via python-sat, conflict cap 20,000,000 per solve, 6 h wall cap per solve, CNF streamed into the solver (41,760 variables). First solve SAT after 1.2 s and 10,723 conflicts; ten distinct models in 25.3 s (62,071 conflicts), all k = 16 with d_ub = 3. Model 0 is the code here.

Evidence trail

Every weight <= 2 error is detected by the CNF, and an exhaustive enumeration after staging of every X-type and every Z-type error of weight at most 2 (528 supports per side, plain GF(2) column sums) found none with zero syndrome, so d >= 3 holds independently of the SAT encoding. research/kit/submit.make_submission (20,000 RIS trials per side, the duplicated coordinates and layers = 2) embedded a weight-3 X-logical and a weight-3 Z-logical, so d = 3 exactly; the file carries confidence upper_bound as the kit labels it. verify/validate_candidate.py: verifier ok (weight class weight-8, locality class local-2d-bilayer, two qubits per site, measured interaction radius 4.24), no lighter logical in 3,780 RIS trials, no exact board duplicate, label "advances the weight-8 x local-2d-bilayer board". Check weights: X-rows one of weight 4 and seven of weight 8; Z-rows one of weight 6 and seven of weight 8. kd^2/n = 4.5. It raises k at (n <= 32, d = 3) in the weight-8 bilayer cell from 14 to 16.

Dead ends

G=7 (k >= 18) lies below the column-count bound (7.1) and is UNSAT without solving; the 4x4 bilayer weight-8 t=2 ladder ends here.

Tools

research/local_sat.py, research/kit/submit.py, research/kit/surrogate.py, verify/validate_candidate.py. CaDiCaL 1.9.5 via python-sat 1.9.dev15 (Cadical195), CPython 3.12, one core.

Reproduction

import local_sat
from pysat.solvers import Cadical195
local_sat._grid_sites = lambda side: [(float(x), float(y))
    for y in range(side) for x in range(side) for _ in range(2)]
s = Cadical195(bootstrap_with=[])
cnf = local_sat.build_local_cnf(4, 8, 8, 2, 3.5, sink=s, shared_t3=True)
s.conf_budget(20_000_000); assert s.solve_limited()
model = {abs(m) for m in s.get_model() if m > 0}
# HX[g, q] = cnf["xr"][(g, q)] in model; HZ likewise from cnf["zr"];
# coordinates = cnf["sites"] (each grid point twice), layers = 2.

CaDiCaL is deterministic for a fixed clause order; the first model is the code in this file (fingerprint 3d2c39fac8b37ec6).

Parity checks

X-checks 8 (max weight 8) · Z-checks 8 (max weight 8)
H_X (8 checks, sparse supports)
[0, 2, 3, 10, 19, 20, 22, 31] [9, 25, 27, 29] [0, 1, 2, 4, 5, 6, 16, 21] [5, 10, 11, 12, 14, 15, 21, 24] [0, 3, 4, 5, 7, 8, 12, 30] [1, 7, 13, 15, 18, 24, 28, 31] [11, 16, 22, 23, 25, 26, 27, 28] [17, 18, 20, 24, 25, 26, 29, 30]
H_Z (8 checks, sparse supports)
[1, 8, 11, 12, 13, 14, 21, 23] [7, 11, 15, 20, 22, 30] [1, 4, 5, 6, 11, 18, 27, 29] [1, 2, 3, 4, 5, 12, 19, 31] [3, 7, 13, 17, 18, 20, 26, 28] [0, 5, 6, 16, 17, 23, 24, 31] [8, 9, 10, 19, 24, 27, 28, 30] [10, 16, 19, 20, 21, 22, 25, 27]
Code ID 32-16-3 · download JSON · raw on GitHub