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Circuit Bench

Decoder version

Tensor Trail v0.1

Published

General description

Synthetic high-accuracy tensor-network decoder for interface development.

What changed in this version

Synthetic first revision.

Preparation and output capabilities

Circuit-skeleton preparation
Required
Circuit-prior preparation
Required
Soft output
Provides per-shot failure probability q in [0, 1]

Hyperparameters

Synthetic free-text hyperparameters for UI development.

No machine-readable hyperparameter schema was supplied.

Record history 3 events · revisions and publication decisions
  1. Submitted Ada Decoder Submission event synthesised during history migration. Tensor Trail 0.1
    Event details
    Sequence
    1

    Structured details

    {
  "migration_inferred": true,
  "projected_state": "published"
}

    Canonical submitted snapshot

    {
  "data": {
    "migration_inferred": true,
    "record_id": "5b1b8efb-e0e2-517f-a88a-1459acbe2ee7",
    "schema_release_id": "f015bc80-d4ee-52d0-97b6-a380dcd2e1aa"
  },
  "schema": {
    "record_type": "decoder",
    "version": "0.1"
  }
}
  2. Approved System (migration_backfill) Historical approval actor was not recorded. Tensor Trail 0.1
    Event details
    Sequence
    2

    Structured details

    {
  "approval_route": "legacy_unknown",
  "migration_inferred": true
}
  3. Published System (migration_backfill) Publication event synthesised from the lifecycle projection. Tensor Trail 0.1
    Event details
    Sequence
    3
    Caused by
    Event 2

    Structured details

    {
  "migration_inferred": true
}

Results for this decoder version

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The current population contains 8 published results. Its filters, query, plot, and sort describe the same population.

Show plotter Hide plotter 8 /8 points
LER upper 95% @ 5% acceptance against t₁₀₀₀ 8 of 8 results plotted.
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Scatter plot of LER upper 95% @ 5% acceptance against t₁₀₀₀; x is linear and y is linear. Points retain the caller's result order. Stored intervals are displayed as bars. 8 of 8 results have plottable axis values. 5 · 107 1 · 108 1.5 · 108 2 · 108 2.5 · 108 2 · 10-2 4 · 10-2 6 · 10-2 8 · 10-2 0.1 t₁₀₀₀ ns · linear LER upper 95% @ 5% acceptance probability · linear
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x-axis
t_1000_ns — t₁₀₀₀ (ns), linear scale, lower is better. Definition
y-axis
score_ler_upper_95_at_5pct_acceptance_v0_1 — LER upper 95% @ 5% acceptance (probability), linear scale, lower is better. Definition
uncertainty
Whisker bars. 0 x-axis and 8 y-axis stored intervals are available in this plotted population. Only complete lower/upper intervals stored under the selected score definition are drawn; Circuit Bench does not infer missing errors.
Plot data
Tabular data for this plot (8 rows)
LER upper 95% @ 5% acceptance against t₁₀₀₀; omitted points are reported above.
Record Result UUID t₁₀₀₀ (ns) LER upper 95% @ 5% acceptance (probability)
Bivariate bicycle 144 memory 3552c203-9138-5a7e-80a1-80b733a02764
Planar stability experiment d=5 edc3553d-8e5e-534d-a577-4f78aea942d4
Rotated surface-code memory d=3 d81c8f9c-b72a-5694-8535-e0554b60129d
Rotated surface-code memory d=5 113eef3f-a03d-5d60-a870-7c51f6a2016b
Rotated surface-code memory d=7 ba1c2714-2bbc-5dd0-93df-8fecba630148
Rotated surface-code memory d=9 9261731f-922d-5854-ac8b-983369a241ba
Surface-code logical CNOT d=3 413b8677-bd0e-5134-939c-845e967ba8fe
Triangular colour-code memory d=5 63a4ad76-9052-5bde-9767-3254d9b4ed21
8 records Sort: Circuit ascending

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Visible columns
Circuit 1↑ Noise model Machine type Machine Shots LER upper 95% @ 5% t₁₀₀₀ (ns) Evaluator scores Reproduction Published
Bivariate bicycle 144 memoryRandomised phenomenological noiseGPUdemo-single-gpu160,000 Brier loss upper 95% bound: 1.37 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 5.7 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:34 a.m.
Planar stability experiment d=5Fixed phenomenological noiseGPUdemo-single-gpu140,000 Brier loss upper 95% bound: 1.28 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 4.8 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:32 a.m.
Rotated surface-code memory d=3Fixed phenomenological noiseGPUdemo-single-gpu110,000 Brier loss upper 95% bound: 1.64 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 8.4 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:29 a.m.
Rotated surface-code memory d=5Fixed phenomenological noiseGPUdemo-single-gpu100,000 Brier loss upper 95% bound: 1.4 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 6 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:28 a.m.
Rotated surface-code memory d=7Randomised phenomenological noiseGPUdemo-single-gpu120,000 Brier loss upper 95% bound: 1.16 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 3.6 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:30 a.m.
Rotated surface-code memory d=9Randomised phenomenological noiseGPUdemo-single-gpu130,000 Brier loss upper 95% bound: 1.025 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 2.25 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:31 a.m.
Surface-code logical CNOT d=3Fixed phenomenological noiseGPUdemo-single-gpu170,000 Brier loss upper 95% bound: 1.76 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 9.6 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:35 a.m.
Triangular colour-code memory d=5Fixed phenomenological noiseGPUdemo-single-gpu150,000 Brier loss upper 95% bound: 1.52 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 7.2 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:33 a.m.