Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: Not applicablePipeline-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.

Amplitude-estimation expectation estimator

Definition

Input. A finite expectation-estimation task with an exact encoded observable g:X→[a,b], a coherent sampler V for its law, rational target ε>0, and rational failure probability 0<δ<1. For a<b, require ε≤b−a. The supplied access model must include every forward, inverse, controlled, value, predicate, and reflection operation that the chosen QA13 amplitude-estimation circuit invokes.

If a=b, return a. Otherwise compute the exact affine value q(x)=g(x)−ab−a∈[0,1]. Append a good flag to the coherent sampler. Reversibly compute q(x) in the declared value workspace, apply the supplied one-qubit rotation ∣0⟩⟼1−q(x)∣0⟩+q(x)∣1⟩ controlled by the sample/value registers, and uncompute all scratch used only for q. Let Aq denote the resulting state-preparation unitary, including V and the controlled rotation; let Pgood project onto flag ∣1⟩. Run the unchanged median-confidence estimator Median confidence amplification for amplitude estimation on (Aq,Pgood) with amplitude tolerance η=ε/(b−a) and failure probability δ, and call its estimate q~. Return μ~=a+(b−a)q~.

For a=b, the exact-return branch has no quantum call. When a<b, the input is a costed finite circuit/oracle description. Charge each use of Aq, Aq†, controlled versions, the good and initial-state reflections, value decoding, reversible arithmetic and uncomputation, the controlled rotation and its precision, phase estimation, state preparation, gates, width, ancillas, and classical output processing according to Circuit-family and computation cost model. No operation is free because it is described by the law p or observable g.

Depends on

Used by

Dependency tree · two levels

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