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 capped amplification succeeds with a supplied lower bound
Statement
Let a unitary flagged preparation have well probability , , and exact inverse access. Set , for . In each of fresh rounds, draw uniform bits; reject the round without queries if the resulting integer , and otherwise run amplitude-amplification iterations from , then verify the well flag. The probability that all rounds fail is at most . The conditional well state in every successful round is the same pure-state ray as the normalized well component of . The total number of calls is at most .
Facts & Assumptions
Given: A fixed unitary state preparation, its inverse, and an orthogonal well-flag projection.
Amplitude-amplification invariant plane: the initial good and bad components span an invariant plane for the amplification iterate.
Exact success probability after amplitude amplification: if , after rounds the success probability is .
Amplitude amplification with a fixed integer iteration count: one iterate consists of the supplied preparation, its inverse, and the two declared reflections.
Inverse Unitary Access: every inverse call is an explicitly supplied access with a separately chargeable cost.
Sine chord and linear bounds: for .
The addition formulas for sine and cosine and Double-angle and quadratic power-reduction identities: sine addition gives , and the double-angle formulas give and .
Proof
For , the addition identity in [F6] gives . Summing over telescopes, so . The double-angle identities in [F6] therefore give , and the corresponding cosine-square sum has a plus sign. Here the denominators are positive except at the separately treated endpoint . Put . For , . The finite sine-square identity from [F6] gives average success For , put . The cosine-square version of [F6] gives average success . If its sine numerator is nonnegative this is at least . If it is negative, then , and [F5] gives , so the magnitude of the fraction is at most . The average is again greater than . At , every iteration succeeds. Thus uniform accepted has average success at least for every .
Since , the random-bit draw is accepted with probability and, conditioned on acceptance, is uniform on . Each fresh round therefore succeeds with probability at least . Independence of fresh preparation, bits and verification gives total failure at most , since [F7] gives and . Therefore the failure is at most .
At most iterations occur in one round, each using one and one besides the initial ; hence each call count is at most , and their sum is at most . The good component remains collinear by [F1, F3]; its scalar rotation coefficient may be negative, but every positive-probability well branch therefore has the same pure-state ray as the normalized initial well component.
Depends on
- Amplitude amplification with a fixed integer iteration count
- Exact success probability after amplitude amplification
- Amplitude-amplification invariant plane
- Inverse Unitary Access
- Sine chord and linear bounds
- The addition formulas for sine and cosine
- Double-angle and quadratic power-reduction identities
- The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
Used by
Dependency tree · two levels
48 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
- Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd, Quantum algorithm for linear systems of equations (standard reference, not scraped)
- Andrew M. Childs, Robin Kothari, and Rolando D. Somma, Quantum algorithm for systems of linear equations with exponentially improved dependence on precision (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)