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TheoremStatement: Literature-sourcedProof: AI-generatedPipeline-generated
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BBBV hybrid lower bound for unstructured search

Statement

For the promise PN={0N,e1,…,eN} of All-zero versus exactly-one-marked search promise, every bounded-error quantum algorithm deciding whether the input is zero or one-marked uses at least N/24 standard bit queries. Every bounded-error finder that outputs a marked coordinate on each ei and none on 0N also uses at least N/24 standard bit queries. The decision part satisfies the stronger bound T≥N/12.

Facts & Assumptions

Given: The promise task, pure query normal form, final acceptance gap, aggregate hybrid bound, and worst-case query cost convention.

[F1]

All-zero versus exactly-one-marked search promise: the no input is 0N, each yes input is ei, and finding succeeds exactly when a valid marked coordinate is returned on a yes input or none on the no input.

[F2]

Coherent normal form for finite quantum query algorithms: finite-branch algorithms with worst-case T standard XOR queries have equivalent pure-state circuits with exactly T ordinary queries and the same output law.

[F3]

Acceptance-gap lower bound on final-state distance: a common final measurement with probabilities at least 2/3 and at most 1/3 forces final vector distance at least 1/6.

[F4]

Aggregate hybrid distance budget over all marked indices: the squared final-state distances over all singleton inputs sum to at most 4T2.

[F5]

Worst-case bounded-error correctness: bounded-error decision correctness is per promised input with success probability at least 2/3.

[F6]

Quantum query complexity: query cost is the maximum number of oracle calls on any promised input and branch.

Proof

1.1F1F2F3F5

Let a bounded-error decision algorithm use T queries. Apply [F2] and use the common final acceptance event. For each i, correctness [F5] gives acceptance at least 2/3 on ei and at most 1/3 on 0N. By [F3], ∥ψTi−ψT0∥≥1/6.

2.1F4step 1.1algebra

Summing the squares of these N inequalities gives N/36≤∑i∥ψTi−ψT0∥2. By [F4], the right side is at most 4T2, so T≥N/12.

3.1F1F5F6step 2.1construct

Now let a bounded-error finder use T queries. Append a decision step that measures its output and, if it is a coordinate i, makes one standard bit query at address i−1 with response initialized to 0; accept exactly when that response is 1. If the output is none or invalid, reject without a query. On 0N this decision never accepts; on ei it accepts whenever the finder returns i, which has probability at least 2/3 by [F1]. This is a bounded-error decision procedure with at most T+1 queries, so [F6] and step 2.1 give T+1≥N/12.

4.1F1step 3.1algebra∎

If N≥576, then N/12≥2, and step 3.1 gives T≥N/12−1≥N/24. If 1≤N<576, a zero-query finder has the same output law on 0N and e1, yet success would require probability at least 2/3 on the disjoint outcomes none and 1 under this one common law. Their probabilities would sum to at least 4/3, impossible; hence T≥1≥N/24.

Depends on

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