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Circuit Bench

Machine

demo-single-gpu

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Description

Synthetic single-GPU workstation for plotting demonstrations.

Classification

GPU · Simulated evidence

Record history 3 events · revisions and publication decisions
  1. Submitted Ada Decoder Submission event synthesised during history migration. demo-single-gpu
    Event details
    Sequence
    1

    Structured details

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

    Canonical submitted snapshot

    {
  "data": {
    "migration_inferred": true,
    "record_id": "65711e4d-f6c8-5716-93e2-f5cbabadfffe",
    "schema_release_id": "dd91efbb-10fe-5cd9-8823-6955be9112c4"
  },
  "schema": {
    "record_type": "machine",
    "version": "0.1"
  }
}
  2. Approved System (migration_backfill) Historical approval actor was not recorded. demo-single-gpu
    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. demo-single-gpu
    Event details
    Sequence
    3
    Caused by
    Event 2

    Structured details

    {
  "migration_inferred": true
}

Published results using this machine

Scripted query (OData 4.01 subset)
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Circuit Bench
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Circuit Bench

Error Correction Zoo
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Circuit Bench
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The current population contains 24 published results. Its filters, query, plot, and sort describe the same population.

Show plotter Hide plotter 23 /24 points
LER upper 95% @ 5% acceptance against t₁₀₀₀ 23 of 24 results plotted; 1 omitted (1 with at least one null axis value).
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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. 23 of 24 results have plottable axis values. 5 · 107 1 · 108 1.5 · 108 2 · 108 2.5 · 108 5 · 10-2 0.1 0.15 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 23 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 (23 rows)
LER upper 95% @ 5% acceptance against t₁₀₀₀; omitted points are reported above.
Record Result UUID t₁₀₀₀ (ns) LER upper 95% @ 5% acceptance (probability)
Tensor Trail v0.1 · Surface-code logical CNOT d=3 413b8677-bd0e-5134-939c-845e967ba8fe
Tensor Trail v0.1 · Bivariate bicycle 144 memory 3552c203-9138-5a7e-80a1-80b733a02764
Tensor Trail v0.1 · Triangular colour-code memory d=5 63a4ad76-9052-5bde-9767-3254d9b4ed21
Tensor Trail v0.1 · Planar stability experiment d=5 edc3553d-8e5e-534d-a577-4f78aea942d4
Tensor Trail v0.1 · Rotated surface-code memory d=9 9261731f-922d-5854-ac8b-983369a241ba
Tensor Trail v0.1 · Rotated surface-code memory d=7 ba1c2714-2bbc-5dd0-93df-8fecba630148
Tensor Trail v0.1 · Rotated surface-code memory d=3 d81c8f9c-b72a-5694-8535-e0554b60129d
Tensor Trail v0.1 · Rotated surface-code memory d=5 113eef3f-a03d-5d60-a870-7c51f6a2016b
Neural Syndrome v0.1 · Bivariate bicycle 144 memory 4fa86473-b9fa-576f-bb83-76f0380a0e41
Neural Syndrome v0.1 · Triangular colour-code memory d=5 0c412652-8e5d-51bf-a2a8-fccf1eb99645
Neural Syndrome v0.1 · Planar stability experiment d=5 f65c541e-0237-521d-8f95-119547af0200
Neural Syndrome v0.1 · Rotated surface-code memory d=9 1af2917d-3aeb-5394-8aa4-6ddfa3a1fec1
Neural Syndrome v0.1 · Rotated surface-code memory d=7 53d42b72-692a-5c73-a86d-e16aa7d04683
Neural Syndrome v0.1 · Rotated surface-code memory d=3 87db6afc-f090-504b-b5fc-640ce220fb43 0.106 probability
Neural Syndrome v0.1 · Rotated surface-code memory d=5 6bcc4e9b-f032-5d54-8de2-e07546bd61d5
Sparse BP+OSD v0.1 · Surface-code logical CNOT d=3 89b80853-b04c-5669-b11f-7c977e33a201 0.16 probability
Sparse BP+OSD v0.1 · Bivariate bicycle 144 memory 578afcec-cd84-5b24-8549-822adc26e181
Sparse BP+OSD v0.1 · Triangular colour-code memory d=5 116eee62-47db-5c68-9698-e70db02ee588 0.12 probability
Sparse BP+OSD v0.1 · Planar stability experiment d=5 d7fae99f-9dfc-58b7-a81f-810ffa1a2809
Sparse BP+OSD v0.1 · Rotated surface-code memory d=9 29839623-53a4-546a-a4f5-f145b9cff782
Sparse BP+OSD v0.1 · Rotated surface-code memory d=7 d33dedb2-7e3e-5439-acaf-24bcf9748254
Sparse BP+OSD v0.1 · Rotated surface-code memory d=3 b03fbb8a-58ce-5e2e-a64d-16ff0c74454c 0.14 probability
Sparse BP+OSD v0.1 · Rotated surface-code memory d=5 341b6853-2f8a-5865-9710-4f5c14908873 0.1 probability
24 records Sort: Published descending

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Decoder Version Algorithm tags Circuit Noise model Shots LER upper 95% @ 5% t₁₀₀₀ (ns) Evaluator scores Reproduction Published 1↓
Tensor Trail0.1Surface-code logical CNOT d=3Fixed phenomenological noise170,000 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.
Tensor Trail0.1Bivariate bicycle 144 memoryRandomised phenomenological noise160,000 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.
Tensor Trail0.1Triangular colour-code memory d=5Fixed phenomenological noise150,000 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.
Tensor Trail0.1Planar stability experiment d=5Fixed phenomenological noise140,000 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.
Tensor Trail0.1Rotated surface-code memory d=9Randomised phenomenological noise130,000 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.
Tensor Trail0.1Rotated surface-code memory d=7Randomised phenomenological noise120,000 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.
Tensor Trail0.1Rotated surface-code memory d=3Fixed phenomenological noise110,000 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.
Tensor Trail0.1Rotated surface-code memory d=5Fixed phenomenological noise100,000 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.
Neural Syndrome0.1Surface-code logical CNOT d=3Fixed phenomenological noise170,000 0.122 probability —Brier loss upper 95% bound: 2.016 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.1216 probabilityIndependent reproduction31 Aug 2026, 1:19 a.m.
Neural Syndrome0.1Bivariate bicycle 144 memoryRandomised phenomenological noise160,000 Brier loss upper 95% bound: 1.522 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 7.22 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:18 a.m.
Neural Syndrome0.1Triangular colour-code memory d=5Fixed phenomenological noise150,000 Brier loss upper 95% bound: 1.712 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 9.12 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:17 a.m.
Neural Syndrome0.1Planar stability experiment d=5Fixed phenomenological noise140,000 Brier loss upper 95% bound: 1.408 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 6.08 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:16 a.m.
Neural Syndrome0.1Rotated surface-code memory d=9Randomised phenomenological noise130,000 Brier loss upper 95% bound: 1.085 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 2.85 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:15 a.m.
Neural Syndrome0.1Rotated surface-code memory d=7Randomised phenomenological noise120,000 Brier loss upper 95% bound: 1.256 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 4.56 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:14 a.m.
Neural Syndrome0.1Rotated surface-code memory d=3Fixed phenomenological noise110,000 0.106 probability Brier loss upper 95% bound: 1.864 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.1064 probabilityIndependent reproduction31 Aug 2026, 1:13 a.m.
Neural Syndrome0.1Rotated surface-code memory d=5Fixed phenomenological noise100,000 Brier loss upper 95% bound: 1.56 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 7.6 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:12 a.m.
Sparse BP+OSD0.1Surface-code logical CNOT d=3Fixed phenomenological noise170,000 0.16 probability Brier loss upper 95% bound: 2.4 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.16 probabilityIndependent reproduction31 Aug 2026, 1:11 a.m.
Sparse BP+OSD0.1Bivariate bicycle 144 memoryRandomised phenomenological noise160,000 Brier loss upper 95% bound: 1.75 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 9.5 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:10 a.m.
Sparse BP+OSD0.1Triangular colour-code memory d=5Fixed phenomenological noise150,000 0.12 probability Brier loss upper 95% bound: 2 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.12 probabilityIndependent reproduction31 Aug 2026, 1:09 a.m.
Sparse BP+OSD0.1Planar stability experiment d=5Fixed phenomenological noise140,000 Brier loss upper 95% bound: 1.6 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 8 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:08 a.m.
Sparse BP+OSD0.1Rotated surface-code memory d=9Randomised phenomenological noise130,000 Brier loss upper 95% bound: 1.175 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 3.75 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:07 a.m.
Sparse BP+OSD0.1Rotated surface-code memory d=7Randomised phenomenological noise120,000 Brier loss upper 95% bound: 1.4 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 6 · 10⁻² probabilityIndependent reproduction31 Aug 2026, 1:06 a.m.
Sparse BP+OSD0.1Rotated surface-code memory d=3Fixed phenomenological noise110,000 0.14 probability Brier loss upper 95% bound: 2.2 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.14 probabilityIndependent reproduction31 Aug 2026, 1:05 a.m.
Sparse BP+OSD0.1Rotated surface-code memory d=5Fixed phenomenological noise100,000 0.1 probability Brier loss upper 95% bound: 1.8 · 10⁻² probability; LER upper 95% bound at 5% acceptance: 0.1 probabilityIndependent reproduction31 Aug 2026, 1:04 a.m.