Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

First-order term-list simulator

Definition

Input: A finite term-list access input with H=∑j=1mHj, a finite time code t in the expression language of Term-list Hamiltonian access, a rational tolerance 0<ϵ<1, a certified rational C2≥0 satisfying C2≥∑1≤j<ℓ≤m∥[Hj,Hℓ]∥, and a supplied certified rational upper bound R≥0 satisfying R≥t2C2/ϵ. For t≠0, put r=max⁡{1,⌈R⌉} and h=t/r; the access declarations must supply each term call at this exact signed code h, with its implementation and costs. A call may be directly supported at h or supplied by separately declared inverse or time-reversed access, with that route's own costs. When t≠0, every approximate call must have a certified error, and the sum of those errors over all rm calls must be at most ϵ/2. The time-code and call conventions are those of Term-list Hamiltonian access.

Output: The composed unitary circuit for the declared product order, together with its query, gate, ancilla, coefficient-bit, description-bit, and classical-generation cost record.

Instructions:

  1. Compare the exact value of the supplied time code with 0. If it is 0, return the identity circuit.
  2. Otherwise set r=max⁡{1,⌈R⌉} using rational arithmetic and set h=t/r as a supported finite expression code.
  3. For each of exactly r repetitions, execute the declared term calls chronologically in order m,m−1,…,1. By Denotational semantics of a finite layered circuit, later executed gates multiply on the left. The ideal exact-call operator for one repetition is therefore e−ihH1⋯e−ihHm of First-order Lie product formula; with supplied implementations the actual operator is V1(h)⋯Vm(h), with the declared call errors accumulated separately. If the call at h is supplied through inverse or time-reversed access, use that separately declared route and its cost and error record; do not infer it from forward access alone.
  4. Keep circuit-generation, coefficient, and all oracle costs in their separate declared coordinates. When t≠0 and calls are approximate, retain their per-call error records; admissibility requires their sum over all rm calls to be at most ϵ/2.

The procedure makes no claim that the required term calls or their uniform generator exist for an arbitrary matrix.

Depends on

Used by

Dependency tree · two levels

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Sources