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 higher-order Suzuki product formula
Definition
Input: Integers , a finite time code in the expression language of Term-list Hamiltonian access, and a finite term-list access input.
Admissible conditions: If , for every term occurrence in the fully expanded segment, the access input supports that exact signed time code for term and declares its implementation, per-call costs, and any approximation-error record. The call may be supplied directly at the signed code or through separately declared inverse or time-reversed access with its own cost and error record. This condition includes the half-time calls in the base formula and every signed central call in the recursion.
Output: The finite product circuit and its declared query, gate, ancilla, coefficient-bit, description-bit, and classical-generation costs.
Instructions:
- Compare the exact value of the supplied time code with . If it is , return the identity. Otherwise begin with from Symmetric second-order product formula, where .
- For each , let be the unique nonnegative root of from Existence and uniqueness of -th roots: a unique with ; it is positive since . Put , and recursively replace the current even-order formula by
- Recursively expand one segment until only the term exponentials remain, retaining their displayed operator order. For exactly repetitions, execute the factors of each expanded segment chronologically in the reverse of their displayed operator order. Since later executed gates multiply on the left by Denotational semantics of a finite layered circuit, the exact-call operator is . If calls are approximate, execute their supplied unitary implementations in that same chronological order and retain the per-call error records; the displayed remains the ideal exact-call word.
- For each central coefficient , use the implementation declared for that actual signed call time. For , let be the positive root of . It is positive, and : otherwise monotonicity of positive integer powers (Monotonicity of and of ) would give , a contradiction. Hence , , and . Thus the central coefficient is negative; the actual call time is this coefficient times the current recursive time argument. Use the resulting signed code, which may be positive or negative, with its directly supported implementation or separately declared inverse or time-reversed access. Charge exact coefficient descriptions and classical generation separately.
The recursion is finite because increases only from through , and each expansion makes five calls to the preceding formula. No asymptotic error or cost guarantee is part of this procedure definition.
Depends on
Used by
Dependency tree · two levels
36 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
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (standard reference, not scraped)