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Extensions: exact local expectations from a product-observable evaluator

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QAlgorithms.Papers.Independent.Intakethird100.P57.exact_network_extensions

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Fix s≥0s\ge0s≥0. Suppose a normalized base vector ψ\psiψ has an exact evaluator for ⟨ψ,(⨂kFk)ψ⟩\langle\psi,(\bigotimes_k F_k)\psi\rangle⟨ψ,(⨂k​Fk​)ψ⟩, uniformly for arbitrary complex 2×22\times22×2 local matrices FkF_kFk​, including non-Hermitian factors. For every observable OOO supported on at most sss sites, one graph enhancement followed by local unitaries admits an exact scalar reduction with

#base calls≤4s,work≤Cs(N+1)3+4sB,\#\text{base calls}\le4^s,\qquad \mathrm{work}\le C_s(N+1)^3+4^sB,#base calls≤4s,work≤Cs​(N+1)3+4sB,

when each base evaluation costs at most BBB operations uniformly in the factors. Alternatively, for a supplied unitary Clifford circuit of length ℓ\ellℓ, followed by local unitaries, there is a separate reduction with

#base calls≤4s,work≤Cs(N+ℓ+1)3+4sB.\#\text{base calls}\le4^s,\qquad \mathrm{work}\le C_s(N+\ell+1)^3+4^sB.#base calls≤4s,work≤Cs​(N+ℓ+1)3+4sB.

The programs precede all numerical data; their calls, factor formation, and scalar output evaluation have explicit semantics. Thus an efficient exact base evaluator yields efficient fixed-support expectations under either enhancement. Clifford conjugation may spread support. These reductions do not assert arbitrary alternation of the two enhancement layers.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P57
Formal statement
noncomputable section

open scoped ComplexConjugate Matrix

namespace QAlgorithms.Papers.Independent.Intakethird100.P57

attribute [local instance] Classical.propDecidable

/-- PDF p.4 Extensions: exact conditional reductions, separately for one graph layer or
one Clifford circuit. For support ≤s, at most 4^s arbitrary product evaluations are used;
all other scalar work is polynomial in N and circuit length. Each product call is charged
B in addition to explicit factor formation. Thus any efficient exact base evaluator gives
an efficient local evaluator. No approximate-evaluation contract or alternating enhancement
layers are asserted, and Clifford propagation need not preserve small support. -/
theorem exact_network_extensions :
    ∀ s : ℕ, ∃ C : ℕ, 0 < C ∧
      ∃ (graphPrograms : (N : ℕ) → (S : Finset (Fin N)) → EnhancementProgram N S)
        (cliffordPrograms : (N : ℕ) → (S : Finset (Fin N)) →
          List (QubitCliffordGate N) → EnhancementProgram N S),
      ∀ (N : ℕ) (S : Finset (Fin N)), 1 ≤ N → S.card ≤ s →
        let gp := graphPrograms N S
        (gp.scalar.calls ≤ 4 ^ s ∧
          (∀ B : ℕ, gp.scalar.work B ≤ C * (N + 1) ^ 3 + 4 ^ s * B) ∧
          (∀ (psi : EuclideanSpace ℂ (Qubits N)) (hpsi : IsState psi)
            (base : (Fin N → Matrix Bool Bool ℂ) → ℂ), ExactProductEvaluator psi base →
            ∀ (G : PhaseGraph N) (V : Fin N → Matrix.unitaryGroup Bool ℂ)
              (O : Matrix (S → Bool) (S → Bool) ℂ),
              ∃ mem : ℕ → ℂ,
                gp.scalar.execute (enhancementData G V O) base = some mem ∧
                gp.output < gp.scalar.code.length ∧
                mem gp.output = inner ℂ (enhance G V psi)
                  (act (supportedOp S O) (enhance G V psi)))) ∧
        (∀ circuit : List (QubitCliffordGate N),
          let cp := cliffordPrograms N S circuit
          cp.scalar.calls ≤ 4 ^ s ∧
          (∀ B : ℕ, cp.scalar.work B ≤ C * (N + circuit.length + 1) ^ 3 + 4 ^ s * B) ∧
          (∀ (psi : EuclideanSpace ℂ (Qubits N)) (hpsi : IsState psi)
            (base : (Fin N → Matrix Bool Bool ℂ) → ℂ), ExactProductEvaluator psi base →
            ∀ (G : PhaseGraph N) (V : Fin N → Matrix.unitaryGroup Bool ℂ)
              (O : Matrix (S → Bool) (S → Bool) ℂ),
              let chi := act (productOp fun k => (V k : Matrix Bool Bool ℂ))
                (act (cliffordMatrix circuit) psi)
              ∃ mem : ℕ → ℂ,
                cp.scalar.execute (enhancementData G V O) base = some mem ∧
                cp.output < cp.scalar.code.length ∧
                mem cp.output = inner ℂ chi (act (supportedOp S O) chi))) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P57

end
Source
Renormalization algorithm with graph enhancement, arXiv:0802.1211v1, PDF p. 4, Extensions: exact local expectations from a product-observable evaluator
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What the Lean code literally says, in plain math · gpt-6.1-sol

For every natural number sss, there exist a positive natural number CCC and two families of enhancement programs, gN,Sg_{N,S}gN,S​ and cN,S,Cc_{N,S,\mathcal C}cN,S,C​, defined for every natural number NNN, every finite set of sites S⊆{0,…,N−1}S\subseteq\{0,\ldots,N-1\}S⊆{0,…,N−1}, and, for the second family, every finite list C\mathcal CC of the Clifford gates described below, such that the following guarantees hold whenever N≥1N\ge1N≥1 and ∣S∣≤s|S|\le s∣S∣≤s. A scalar program here is a finite instruction list operating on complex memory initially zero, writing successive instruction results at successive addresses starting at zero; its operations are complex constants, input reads, addition, multiplication, division, conjugation, z↦exp⁡(iRe⁡z)z\mapsto\exp(i\operatorname{Re}z)z↦exp(iRez), and calls to a supplied function base\mathrm{base}base on a family of NNN complex 2×22\times22×2 matrices assembled from memory entries. Reading an unwritten address gives zero, and division by zero fails. Its call count is the number of these function calls, and its work at parameter B∈NB\in\mathbb NB∈N charges 4N+1+B4N+1+B4N+1+B for each call and 111 for each other instruction. The program gN,Sg_{N,S}gN,S​ has at most 4s4^s4s calls and, for every B∈NB\in\mathbb NB∈N, work at most C(N+1)3+4sBC(N+1)^3+4^sBC(N+1)3+4sB. For every vector ψ\psiψ on the Boolean strings of length NNN with ∥ψ∥=1\|\psi\|=1∥ψ∥=1, and every function base\mathrm{base}base satisfying base(F)=⟨ψ,PFψ⟩\mathrm{base}(F)=\langle\psi,P_F\psi\ranglebase(F)=⟨ψ,PF​ψ⟩ for every family FFF, where (PF)a,b=∏k(Fk)ak,bk(P_F)_{a,b}=\prod_k(F_k)_{a_k,b_k}(PF​)a,b​=∏k​(Fk​)ak​,bk​​, the following holds for every real weight array www satisfying wij=wjiw_{ij}=w_{ji}wij​=wji​, wii=0w_{ii}=0wii​=0, and 0≤wij<2π0\le w_{ij}<2\pi0≤wij​<2π, every family of unitary 2×22\times22×2 matrices VkV_kVk​, and every complex matrix OOO indexed by Boolean assignments on SSS. Define the diagonal matrix DwD_wDw​ by (Dw)b,b=exp⁡(i∑i<j, bi=bj=truewij)(D_w)_{b,b}=\exp(i\sum_{i<j,\ b_i=b_j=\mathrm{true}}w_{ij})(Dw​)b,b​=exp(i∑i<j, bi​=bj​=true​wij​), define W=PVW=P_VW=PV​, and define O~a,b=Oa∣S,b∣S\widetilde O_{a,b}=O_{a|_S,b|_S}Oa,b​=Oa∣S​,b∣S​​ when aaa and bbb agree outside SSS, and O~a,b=0\widetilde O_{a,b}=0Oa,b​=0 otherwise. Give the program input values wijw_{ij}wij​, (Vk)a,b(V_k)_{a,b}(Vk​)a,b​, and Oa,bO_{a,b}Oa,b​ at their respective phase, rotation, and observable labels. Execution with base\mathrm{base}base succeeds with some memory function μ:N→C\mu:\mathbb N\to\mathbb Cμ:N→C, its designated output address is smaller than its instruction-list length, and the value there is ⟨WDwψ,O~ WDwψ⟩\langle WD_w\psi,\widetilde O\,WD_w\psi\rangle⟨WDw​ψ,OWDw​ψ⟩. For every circuit C\mathcal CC, the program cN,S,Cc_{N,S,\mathcal C}cN,S,C​ likewise has at most 4s4^s4s calls and, for every B∈NB\in\mathbb NB∈N, work at most C(N+∣C∣+1)3+4sBC(N+|\mathcal C|+1)^3+4^sBC(N+∣C∣+1)3+4sB. Under the same quantification over normalized ψ\psiψ, exact base\mathrm{base}base, www, VVV, and OOO, its execution on those same input labels succeeds with an in-range output address whose value is ⟨χ,O~χ⟩\langle\chi,\widetilde O\chi\rangle⟨χ,Oχ⟩, where χ=WUCψ\chi=WU_{\mathcal C}\psiχ=WUC​ψ. The permitted circuit gates are a Hadamard on one site, with entries (−1)ab/2(-1)^{ab}/\sqrt2(−1)ab/2​ for bits a,ba,ba,b, a one-site phase gate diag⁡(1,i)\operatorname{diag}(1,i)diag(1,i), and a controlled bit flip with distinct control and target sites; the latter sends a Boolean string bbb to the string obtained by replacing its target bit by the exclusive-or of its target and control bits. One-site gates act as the identity on all other sites, and UCU_{\mathcal C}UC​ is the product of the gate matrices in reverse list order, so the first listed gate acts first and the empty circuit gives the identity. The second output formula contains no dependence on www. Empty SSS, including s=0s=0s=0, is allowed, and no Hermitian assumption is made on OOO; the program families are defined also at N=0N=0N=0 and ∣S∣>s|S|>s∣S∣>s, but the stated guarantees apply only under the displayed bounds.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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