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.
Quantum counting by uniform-state amplitude estimation
Definition
Input. A Boolean predicate , an integer , , an explicitly supplied controlled membership reflection for , a power of two , and the other controlled accesses in Amplitude estimation and counting input/output contract.
Prepare , run the -qubit QPE circuit for with labels, measure , and output the exact algebraic fraction estimate and count estimate . For this is the QFT amplitude-estimation circuit of QFT-based amplitude estimation; for , use its one-phase-qubit QPE circuit directly, without invoking the error theorem. The fraction and count are real-valued algebraic outputs; integer rounding is optional postprocessing. The controlled membership reflection is an explicit access requirement. In repeated-unitary mode each controlled call charges one controlled membership reflection; in power-query mode each supplied controlled power carries its declared cost vector, including any membership-reflection implementations it uses. Neither access mode is inferred from the bare phase oracle .
Depends on
Used by
- Quantum counting as an expectation special case Algorithm
- Relative approximate counting with unknown marked count Algorithm
- Counting bounds at zero, one, half, and all marked Example
- Exact zero-label probability for counting Lemma
- Quantum counting error and boundary cases Theorem
- Quantum counting query complexity Theorem
- Relative approximate counting query complexity Theorem
- Relative approximate counting success guarantee Theorem
Dependency tree · two levels
51 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Brassard, Høyer, Mosca, and Tapp, Quantum Amplitude Amplification and Estimation, complete article, §§4–5, Theorems 11–18 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, complete lecture notes, §§19.1–19.3 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, complete 239-page notes, §7.3 (standard reference, not scraped)