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DefinitionDefinition: Literature-sourcedProof: AI-generatedPipeline-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.

Finite Boolean query problem and error model for adversary bounds

Definition

Fix an integer N≥1, a nonempty finite set D⊆{0,1}^N, and a Boolean function f:D→{0,1}. A Boolean query problem is the tuple (N,D,f) with input x∈D and standard XOR oracle Ox∣i,b,w⟩=∣i,b⊕xi,w⟩(i∈[N], b∈{0,1}). The local address register is CN with ordered basis ∣i⟩=ei−1, i∈[N]. For its qubit realization, set a=⌈log⁡2N⌉ and encode i by the a-bit binary word for i−1. Define the total bit function x~ on all a-bit words by x~(j)=xj+1 for 0≤j<N and x~(j)=0 for N≤j<2a. The standard bit-flip query for x~ restricts to Ox on the encoded local register and acts as the identity on unused address codewords. Algorithms in the local model use the N-address register at query calls.

For 0≤ε<1/2, Q_ε(f) is the least worst-case number of these oracle calls of an algorithm outputting f(x) with probability at least 1−ε for every x∈D. The input promise does not restrict the oracle address. Only query calls are counted here; no gate-efficiency assertion is part of this definition.

Facts & Assumptions

Given: A finite Boolean query problem and its fixed standard XOR query convention.

[F1]

QA task and promise domain: a finite promise task specifies a domain and a Boolean decision function on that domain.

[F2]

Standard bit-flip query convention: a total bit function on an ordered bit-string address register defines a unitary, involutive XOR query.

[F3]

Quantum query complexity: the general query-cost interface counts the worst-case number of designated oracle calls; its bounded-error convention uses the fixed 2/3 success threshold.

[F4]

Dirac Notation Conversion: computational-basis kets use the stated Dirac pairing.

Proof

1.1givenF1F2construct

The declared finite set D and map f give the promised decision problem. The extension x~ is defined on every a-bit address, so [F2] gives its total XOR unitary. The span of the first N address basis states is invariant, and identifying its word for i−1 with ∣i⟩ gives exactly the displayed Ox; unused codewords are fixed because their extension bit is zero. Thus the local oracle is total on its N-address register, including when N=1 and a=0. The promise restricts x, not which address in [N] may be queried.

2.1givenF2F3F4∎

The local Q_ε clause in the Definition counts the least worst-case number of designated calls to this oracle among algorithms correct with probability at least 1−ε on every promised input; [F3] supplies the general worst-case query-cost convention and excludes nonoracle gates. Equation (F4)'s ket convention fixes all later matrix and state formulas.

Depends on

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Sources