Alphabeta Math
AlgorithmAlgorithm: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Finite capped quantum quantile minimum

Definition

Supply a finite coherent sampler V, its inverse, an exactly ordered finite score/label encoding, and a reversible exact comparison circuit. Supply controlled versions when used, the all-zero input reflection R0=I−2∣0⟩⟨0∣, and the reflection Rv=I−2Πv for the predicate score strictly smaller than an incumbent v. Each preparation retains its value/label work; every named access, comparison, reflection, gate and numerical precision cost is charged. The input quantile parameter is an integer N≥1, with rational confidence 0<δ<1.

A trial first samples an incumbent using V. Set its charged counter to one. To search for an improvement, use stages j=0,1,…, with Kj=⌈(3/2)j⌉ and worst-case stage charge 4Kj+4 for preparation/inverse/reflection calls. Before starting a stage that would exceed 100000⌈N⌉ total charge, stop the trial and return its incumbent. Otherwise charge that amount and do the following:

  1. Take one fresh direct sample. If its score is strictly smaller, replace the incumbent and restart at j=0.
  2. If not, draw at most five independent blocks of ⌈log⁡2Kj⌉ unbiased bits and use the first resulting integer q<Kj. If every draw is out of range, treat this stage as failed and increase j. For Kj=1 the zero-bit draw is q=0.
  3. If an index was accepted, prepare a fresh V∣0⟩, apply q copies of −VR0V†Rv, and measure the score/label. Verify the same exact comparison. On improvement replace the incumbent and restart at j=0; otherwise increase j.

Run R independent trials, where R is the least positive integer for which the exact rational comparison 8−R≤δ holds; find it by repeated rational multiplication and comparison. Return their least measured score and label. The loop is finite because 8R≥1+7R by the binomial theorem. Integer square-root ceilings use integer squaring comparisons; powers, ceilings, comparisons, and bit generation have their finite classical costs. The query theorem is Quantile minimum and coherent-score nondomination guarantee ↗.

Depends on

Used by

Dependency tree · two levels

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Sources