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 marked-item search and its bit oracle
Definition
Fix an integer , put , and let . The big-endian encoding is a bijection by Big-endian bit-string indices are bijective, so identify each address word with its slot . A search instance is a total Boolean function , equivalently the word-indexed function . Its marked set is and its marked count is . The standard bit query is the coherent XOR action ; the associated phase query is . One standard bit query implements this phase action with a response qubit prepared in , by One standard query implements one phase query. A measured candidate is verified by a separate standard bit query. Knowing is additional classical input; no count promise is made in the unknown-count version. A correct search output is a verified . The distinguished output none is used only by a procedure whose input includes the exact fact ; it is not a finite-time test for emptiness when is unknown.
The number may be zero, so and the address register then has its one-dimensional empty-word basis. The phase query is uncontrolled; no controlled-query capability is part of this definition.
Depends on
- Input encoding and size for algorithmic tasks
- Binary phase-query convention
- Standard bit-flip query convention
- QA task and promise domain
- Dirac Notation Conversion
- Big-endian encoding of ordered bit strings
- Finite registers and their ordered computational bases
- One standard query implements one phase query
- Big-endian bit-string indices are bijective
Used by
- BBHT search when the marked count is unknown Algorithm
- Known-count Grover search by exact integer maximization Algorithm
- Known-count search by randomized Grover iteration Algorithm
- One Grover iterate in the standard bit-query model Algorithm
- One uniform phase query gives small trace-distance advantage Counterexample
- Average Grover success for a uniform integer iteration count Lemma
- Orthogonal marked and unmarked components of the uniform state Lemma
- Unknown-count search halts almost surely when a marked item exists Theorem
Dependency tree · two levels
34 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
- Ronald de Wolf, Quantum Computing: Lecture Notes, §§7.1–7.2 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, §19.1 (standard reference, not scraped)
- Gilles Brassard, Peter Høyer, Michele Mosca, and Alain Tapp, Quantum Amplitude Amplification and Estimation, §2 (standard reference, not scraped)