pith:YX6NEGLN
Scalable quantum error correction tailored for a heavy-hex qubit array
A dynamic compass code on heavy-hex hardware cuts logical errors by up to 38.3 percent with noise-informed decoding.
arxiv:2604.14296 v2 · 2026-04-15 · quant-ph
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Claims
Our noise-informed approach yields up to 38.3% improvement in the logical error rate of a distance-5 implementation of the dynamic compass code in experiment.
The assumption that ACES provides accurate context-dependent error rates for the full syndrome extraction cycle and that post-selection to exclude leakage events does not introduce unacceptable bias into the reported logical error rates.
The dynamic compass code achieves competitive thresholds on heavy-hex lattices with an experimental distance-5 implementation showing up to 38.3% logical error rate reduction through noise-informed decoding using ACES and soft information.
Receipt and verification
| First computed | 2026-05-21T01:05:19.178447Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5fcd2196d24528e0f961681509eda5fb8699dbea8464d4ac5ad390af2f71b8e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YX6NEGLNERJI4D4WC2AVBHW2L6 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c5fcd2196d24528e0f961681509eda5fb8699dbea8464d4ac5ad390af2f71b8e
Canonical record JSON
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