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Sweeps N=2000,5000,10000 × p=2..10 × K=1000,10000 × 5 seeds = 240 runs. DAG visualization for pipeline inspection. Results ingest to bmcte.experiment_runs on neon-64gb. GPU Ryser for p≥9 via PyTorch CUDA. Build: 2987 jobs, 0 errors
48 lines
2.3 KiB
SQL
48 lines
2.3 KiB
SQL
-- bmcte_extension_v1.sql — Table for BMCTE experiment results
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-- Run on neon-64gb arxiv DB or any PostgreSQL with pgvector
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CREATE SCHEMA IF NOT EXISTS bmcte;
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CREATE TABLE IF NOT EXISTS bmcte.experiment_runs (
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id SERIAL PRIMARY KEY,
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experiment_id TEXT NOT NULL, -- 'bmcte_extension_v1'
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run_hash TEXT NOT NULL UNIQUE, -- sha256 of (N,p,K,seed)
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N INTEGER NOT NULL, -- mode count
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p INTEGER NOT NULL, -- photon number
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K INTEGER NOT NULL, -- sample count
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seed INTEGER NOT NULL, -- RNG seed
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lambda_theory DOUBLE PRECISION, -- exp(-p²/N)
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entropy_measured DOUBLE PRECISION, -- Shannon entropy (bits)
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nonzero_modes INTEGER, -- modes with prob > 1e-15
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weight_mean DOUBLE PRECISION, -- mean |Per(M)|²
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weight_variance DOUBLE PRECISION, -- var |Per(M)|²
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weight_cv DOUBLE PRECISION, -- coefficient of variation
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ryser_overflow BOOLEAN DEFAULT FALSE, -- any NaN/Inf in weights
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used_shots INTEGER, -- successful samples
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runtime_ms DOUBLE PRECISION, -- wall-clock ms
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used_gpu BOOLEAN DEFAULT FALSE, -- GPU or CPU
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hardware JSONB, -- {cpu, gpu, ram}
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created_at TIMESTAMPTZ DEFAULT NOW(),
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receipt_hash TEXT -- SHA256 of full receipt JSON
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);
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CREATE INDEX IF NOT EXISTS idx_bmcte_runs_Np ON bmcte.experiment_runs (N, p);
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CREATE INDEX IF NOT EXISTS idx_bmcte_runs_experiment ON bmcte.experiment_runs (experiment_id);
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-- Aggregated view for quick analysis
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CREATE OR REPLACE VIEW bmcte.summary AS
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SELECT
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N, p,
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COUNT(*) as n_runs,
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ROUND(AVG(lambda_theory)::numeric, 6) as lambda_theory,
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ROUND(AVG(entropy_measured)::numeric, 6) as entropy_mean,
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ROUND(STDDEV(entropy_measured)::numeric, 6) as entropy_std,
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ROUND(MIN(entropy_measured)::numeric, 6) as entropy_min,
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ROUND(MAX(entropy_measured)::numeric, 6) as entropy_max,
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ROUND(AVG(nonzero_modes)::numeric, 1) as nonzero_modes_mean,
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ROUND(AVG(weight_cv)::numeric, 6) as weight_cv_mean,
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ROUND(AVG(runtime_ms)::numeric, 1) as runtime_ms_mean,
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SUM(CASE WHEN ryser_overflow THEN 1 ELSE 0 END) as overflow_count
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FROM bmcte.experiment_runs
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GROUP BY N, p
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ORDER BY N, p;
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