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SilverSight/data/rrc_pist_predictions_250_v1.json
allaun e6d5a0a8d4 feat: README, CI pipeline, Dependabot config 
- README.md: project overview, quick start, verification commands
- GitHub Actions: anti-smuggle entry gate runs on push (4 layers)
- Dependabot: ignore transitive dependencies (h11, opentelemetry, etc.)
- predictions JSON committed to data/ for CI reproducibility
- build_pist_matrices_250.py / build_manifold.py now default to data/
2026-06-30 05:48:50 -05:00

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"equation": "Z = \u27e8\u03c8|\u03c8\u27e9 can be computed to 1/ poly(N ) multiplicative error in poly(N ) time\n(ii) local observables \u27e8OA \u27e9 = \u27e8\u03c8|OA |\u03c8\u27e9/\u27e8\u03c8|\u03c8\u27e9 with \u27e8OA \u27e9 \u0338= 0 can be computed to multiplicative error \u03f5 in poly(1/\u03f5)\ntime\n(iii) 2-point correlation functions can be computed to additive error O\u0303(1/ poly(N )) in poly(N ) time\n\n\f18\nProof",
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"equation": "m\n\u2264 O e\u2212d(m+1) \u2264 \u03f5\n\u27e8OB \u27e9\n\n(S38)\n\nwhich can be ensured given m = O(log 1/\u03f5), again computable in poly 1/\u03f5 time",
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"equation": "m = d(A, B) + O(log 1/\u03f5), leading to an error O m2 (|A| + |B|)e\u2212dm , which is\n(note that (|A| + |B|) = O(1),\n!\n\u0012\n\u00132\n\u0012\n\u0013\n1\n1\n2\n\u2212d[d(A,B)+log 1/\u03f5]\nO d(A, B) log\n\u00b7e\n= O log N \u00b7\n= O\u0303(1/ poly(N ))\n(S39)\n\u03f5\npoly(N )\nsince we already have d(A, B) = O(log N ) and we choose \u03f5 = 1/ poly(N )",
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