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.
Known-amplitude amplification with integer rounding
Definition
Input a coherent sampler with an exactly represented known success weight . For the finite rational-input procedure, is given as a binary rational; exact algebraic inputs are also allowed when the supplied representation supports exact comparisons. If , return fail without normalizing a good component. If , prepare , apply the declared good/bad projective instrument, and return its good conditional state (or, in the diagonal classical-output specialization, measure and verify the output).
For , set , using the principal inverse-sine and nonnegative-square-root conventions of Principal inverse sine and inverse cosine and Square roots exist: a unique with ; the positives are . Then is the unique angle with . Set , equivalently the least positive integer with . For each integer , compute exactly by the rational recurrence Indeed, writing , double-angle gives , , and cosine addition gives the displayed recurrence. Also . Choose the least attaining the maximum of this finite list. Run the fixed- procedure Amplitude amplification with a fixed integer iteration count, verify when a classical candidate is requested, and return the good conditional output or fail. For rational , every and is rational, so the comparisons are exact. No time bound for this classical preprocessing is claimed.
Remarks
For a general real , the same mathematical maximizer is defined, but a finite implementation requires an exact representation and a procedure that decides all finitely many comparisons, including ties. The item makes no computation claim for an arbitrary unrepresented real.
Depends on
- Prepared unitary and success subspace for amplitude amplification
- Amplitude amplification with a fixed integer iteration count
- Quantum query algorithm
- Finite projective measurements
- Projective measurement outcome weights are probabilities
- Conditional state for a projective measurement
- Complex sine, cosine, hyperbolic sine, and hyperbolic cosine from the complex exponential
- The addition formulas for complex trigonometric and hyperbolic functions
- Parity and the Pythagorean identity for sine and cosine
- Pi as twice the smallest positive zero of cosine
- Quarter-turn values and shifts by pi/2 and pi
- The derivatives of sine and cosine are cosine and minus sine
- Cosine has a smallest positive zero, lying strictly between zero and two
- The addition formulas for sine and cosine
- Double-angle and quadratic power-reduction identities
- Principal inverse sine and inverse cosine
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
Used by
Dependency tree · two levels
71 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
- Gilles Brassard, Peter Høyer, Michele Mosca, and Alain Tapp, Quantum Amplitude Amplification and Estimation (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)