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.
Oracle-only bit-query algorithm
Definition
Fix an integer and a promise domain as in QA task and promise domain. For each full-cube input , define the total address function by for the one-hot word (), and for every other address. If , the address set has only the empty word and is identically zero. A local bit-query algorithm is a finite rooted execution tree on one fixed finite ordered register, starting in the all-zero computational-basis state for its fixed register length . The tree topology and each node label are fixed independently of . Each non-oracle node is either a fixed unitary or a fixed finite instrument, with its observed outcomes retained for later control; every such operation is independent of . Each query node acts on a declared -bit address register and a disjoint one-bit target register by the standard XOR oracle of Standard bit-flip query convention, tensored with the identity on all other wires. Every terminal node uses the same ordered output-wire tuple and the same fixed accepting subset , independent of ; the output law sums over all unmeasured labels and all terminal branch histories as in Normalized output law for finite quantum query branches.
The query count of a branch is the number of query nodes on its root-to-terminal path. The algorithm makes at most queries when every such path contains at most query nodes. A local bit-query algorithm has no direct input access: there is no input register containing , no -dependent non-oracle operation or initial state, and no -dependent terminal predicate. Thus enters only through the stated bit oracle. This is the oracle-only specialization used for the QA15 polynomial-method results.
Remarks
The local model is the standard Boolean-oracle specialization of Quantum query algorithm with no additional public instance data or input-access capability. Its all-zero initial state, fixed non-oracle operations and fixed terminal predicate implement that model directly; no register containing the hidden string is supplied. The polynomial-method claims use this oracle-only interface throughout, so all compared instances share the same non-oracle protocol.
Depends on
Used by
- A symmetrized acceptance polynomial can exceed one between Hamming layers Counterexample
- Acceptance polynomials and approximate degree on Boolean domains Definition
- Local bounded-error bit-query complexity Definition
- A one-query exact algorithm on a two-point OR promise Example
- Coherent query amplitudes have degree at most the query count Lemma
- Unnormalized branch density entries have degree at most twice the query count Lemma
- A T-query bit algorithm has an acceptance polynomial of degree at most 2T Theorem
Dependency tree · two levels
39 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
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (2025), Chapter 21, §§21.3–21.6 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (arXiv:1907.09415), §11.2 (standard reference, not scraped)