Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: Not applicablePipeline-generated
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.

BBHT search when the marked count is unknown

Definition

Gate model. Use the nonoracle model of One Grover iterate in the standard bit-query model, with exact callable H and X charged per occurrence and an explicitly supplied, costed exact reflection implementation. Each invoked Grover iterate retains its separate standard-bit-query and nonoracle costs.

Input N=2n and standard bit-query access to f=1M, with no input giving t=∣M∣. Fix c=3/2 and initialize ℓ=0. In each round increment ℓ and put Mℓ=⌈cℓ⌉. First draw one uniform address x∈Dn and verify it by one standard bit query; if f(x)=1, return x. Otherwise choose j uniformly from {1,…,Mℓ}, prepare a fresh address register as ∣s⟩=H⊗n∣0n⟩ and a fresh response qubit as ∣−⟩ using X then H, apply the Grover iterate exactly j times, measure the address register, and verify the candidate by a separate standard bit query. Return a verified marked item and otherwise begin the next round. Every random choice and quantum register is fresh in each round. The algorithm has no false positive; when t=0 it continues forever and does not produce a finite-time emptiness decision. The gate and state-preparation costs are charged separately from the bit-query count.

Depends on

Used by

Dependency tree · two levels

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Sources