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AlgorithmAlgorithm: Literature-sourcedProof: Not applicablePipeline-generated
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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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Discretized adiabatic path simulation schedule

Definition

Input: An adiabatic path access instance from Adiabatic path access and resource model, a nonnegative finite exact time code T from Term-list Hamiltonian access, a rational tolerance 0<ε≤1, and finite rational certificates M1≥sup⁡s∈[0,1]∥H′(s)∥ and B≥0. The time code supports exact comparisons and arithmetic needed to compute q and the derived supported call times. Write M≥1 for the term count. The coefficient functions are real and have the uniform evaluation procedures and error certificates in the access instance. Each requested coefficient approximation is a finitely encoded real rational. The certificate B bounds, for every sampled grid point and its supplied approximations, the commutator sum of the frozen self-adjoint summands. The access record provides supported term-time calls for every product-formula call below, with the requested certified operator errors. If any required coefficient, call, or certificate is unavailable, the algorithm returns no circuit.

Output: A finite access schedule that composes the supplied preparation, the segment calls and the declared output procedure, with the requested error budget and separately recorded supplied and generated resources. Each term call uses its declared provider: a supplied circuit-family call or a named-oracle call with its query charge. If all required operations are circuit families, the schedule expands into their composed circuit; otherwise it records each call using its declared provider, including every named-oracle query.

  1. If T=0, apply the supplied initial preparation A0 and perform the declared output procedure.

  2. If T>0, set q=max⁡{1,⌈3TM1ε⌉},τ=T/q. These are computable finite integers and a supported time code. For each j=0,…,q−1, let sj=j/q and request rational coefficient approximations c~jk defining H~j=∑k=1Mc~jkHk with certificate ∥H~j−H(sj)∥≤ε/(3T).

  3. Using the input certificate B, and supported time codes for all calls below, set rPF=max⁡{1,⌈3qτ2Bε⌉}. For each j=0,…,q−1 in increasing order, and each product-formula substep a=1,…,rPF, execute term calls for k=M,M−1,…,1 at time code (τ/rPF)c~jk. This chronological order realizes the algebraic product S1(τ/rPF)=e−i(τ/rPF)c~j1H1⋯e−i(τ/rPF)c~jMHM because circuit products act right to left; S1 is the formula in First-order Lie product formula. Each of the qMrPF calls is supplied with operator error at most ε/(6qMrPF).

  4. Execute the q segment call sequences in increasing j after A0, then perform the declared output procedure. Record initial preparation, term queries, gates, ancillary wires, coefficient bits, circuit-description bits, generator time and T separately. If any required coefficient evaluation, time code or term-exponential access is unavailable, this algorithm has no output schedule under the declared model.

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