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Strict qualitative ranking among the six fixed experiments

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QAlgorithms.Papers.Independent.Intakethird100.P80.qualitative_ranking

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

prove2quantum

Let SUCS^{\rm UC}SUC denote the statistical strength with independent setting sampling for the six fixed experiments specified in Appendix III, with their states and measurement choices held fixed. Then

max⁡{SBell originalUC,SBell optimizedUC,SHardyUC,SMerminUC}<SCHSHUC<SGHZUC.\max\{S^{\rm UC}_{\rm Bell\ original},S^{\rm UC}_{\rm Bell\ optimized},S^{\rm UC}_{\rm Hardy},S^{\rm UC}_{\rm Mermin}\}<S^{\rm UC}_{\rm CHSH}<S^{\rm UC}_{\rm GHZ}.max{SBell originalUC​,SBell optimizedUC​,SHardyUC​,SMerminUC​}<SCHSHUC​<SGHZUC​.

CHSH achieves its product-setting optimum with uniform sampling. This is a comparison within these six experiments; it does not assert global optimality among all bipartite quantum experiments. The paragraph's defective numerical factor is separately recorded as a deferral.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P80
Formal statement
noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P80

open scoped BigOperators ENNReal Topology Classical

open MeasureTheory Filter

/-- PDF pp.8–9, Section V: strict comparison ONLY among the six fixed experiments.
The defective quantitative factor in the same paragraph is separately deferred. -/
theorem qualitative_ranking :
    uncorrelatedStrength originalBell < uncorrelatedStrength chshTable ∧
    uncorrelatedStrength optimizedBell < uncorrelatedStrength chshTable ∧
    uncorrelatedStrength hardy < uncorrelatedStrength chshTable ∧
    uncorrelatedStrength mermin < uncorrelatedStrength chshTable ∧
    uncorrelatedStrength chshTable < uncorrelatedStrength ghzTable ∧
    uniformStrength chshTable = uncorrelatedStrength chshTable := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P80

end
Source
The statistical strength of nonlocality proofs, arXiv:quant-ph/0307125v2, PDF p. 9, Section V: qualitative comparison within the six fixed experiments
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What the Lean code literally says, in plain math · gpt-6.1-sol

For each table QQQ below, its scenario has binary outcomes, with setting space A=∏iAiA=\prod_i A_iA=∏i​Ai​ and assignment space V=∏i∏a∈Ai{0,1}V=\prod_i\prod_{a\in A_i}\{0,1\}V=∏i​∏a∈Ai​​{0,1}. Let ΔA,ΔV\Delta_A,\Delta_VΔA​,ΔV​ denote their probability simplices, let U\mathcal UU consist of setting distributions s(a)=∏isi(ai)s(a)=\prod_i s_i(a_i)s(a)=∏i​si​(ai​) for probability vectors sis_isi​, and put Lp(a,x)=∑v: ∀i, vi,ai=xip(v)L_p(a,x)=\sum_{v:\,\forall i,\ v_{i,a_i}=x_i}p(v)Lp​(a,x)=∑v:∀i, vi,ai​​=xi​​p(v). For s∈ΔA,p∈ΔVs\in\Delta_A,p\in\Delta_Vs∈ΔA​,p∈ΔV​, define KQ(s,p)K_Q(s,p)KQ​(s,p) from q(a,x)=s(a)Q(a,x)q(a,x)=s(a)Q(a,x)q(a,x)=s(a)Q(a,x) and r(a,x)=s(a)Lp(a,x)r(a,x)=s(a)L_p(a,x)r(a,x)=s(a)Lp​(a,x) to be +∞+\infty+∞ if some q(a,x)>0q(a,x)>0q(a,x)>0 has r(a,x)=0r(a,x)=0r(a,x)=0, and otherwise the nonnegative part of ∑a,xq(a,x)log⁡2(q(a,x)/r(a,x))\sum_{a,x}q(a,x)\log_2(q(a,x)/r(a,x))∑a,x​q(a,x)log2​(q(a,x)/r(a,x)), taking a summand to be 000 when q(a,x)=0q(a,x)=0q(a,x)=0. Define

U(Q)=sup⁡s∈Uinf⁡p∈ΔVKQ(s,p),F(Q)=inf⁡p∈ΔVKQ(u,p),u(a)=∣A∣−1,U(Q)=\sup_{s\in\mathcal U}\inf_{p\in\Delta_V}K_Q(s,p), \qquad F(Q)=\inf_{p\in\Delta_V}K_Q(u,p), \quad u(a)=|A|^{-1},U(Q)=s∈Usup​p∈ΔV​inf​KQ​(s,p),F(Q)=p∈ΔV​inf​KQ​(u,p),u(a)=∣A∣−1,

with values in [0,+∞][0,+\infty][0,+∞]. The tables called original Bell, optimized Bell, Hardy, and CHSH each have two parties and two settings per party. For the original Bell table, put A0=0,A1=π/8A_0=0,A_1=\pi/8A0​=0,A1​=π/8, B0=π/8,B1=π/4B_0=\pi/8,B_1=\pi/4B0​=π/8,B1​=π/4; its value at (a,x)(a,x)(a,x) is cos⁡2(Aa0−Ba1)/2\cos^2(A_{a_0}-B_{a_1})/2cos2(Aa0​​−Ba1​​)/2 when x0=x1x_0=x_1x0​=x1​ and sin⁡2(Aa0−Ba1)/2\sin^2(A_{a_0}-B_{a_1})/2sin2(Aa0​​−Ba1​​)/2 otherwise. The optimized Bell table has equal-outcome/unequal-outcome values (1/2,0)(1/2,0)(1/2,0) at a=(0,0)a=(0,0)a=(0,0), (1/8,3/8)(1/8,3/8)(1/8,3/8) at a=(0,1)a=(0,1)a=(0,1), and (3/8,1/8)(3/8,1/8)(3/8,1/8) at the other two settings, where each value applies to each individual outcome pair of that kind. For the Hardy table, define

α=2+2−13+652,β=1−α2,\alpha=\frac{\sqrt{2+2\sqrt{-13+6\sqrt5}}}{2},\qquad \beta=\sqrt{1-\alpha^2},α=22+2−13+65​​​​,β=1−α2​, u0=βα+β,v0=αα+β,u1=−β3α3+β3,v1=α3α3+β3,u_0=\sqrt{\frac{\beta}{\alpha+\beta}},\quad v_0=\sqrt{\frac{\alpha}{\alpha+\beta}},\qquad u_1=-\sqrt{\frac{\beta^3}{\alpha^3+\beta^3}},\quad v_1=\sqrt{\frac{\alpha^3}{\alpha^3+\beta^3}},u0​=α+ββ​​,v0​=α+βα​​,u1​=−α3+β3β3​​,v1​=α3+β3α3​​,

and let (h(a,1,0),h(a,1,1))=(ua,va)(h(a,1,0),h(a,1,1))=(u_a,v_a)(h(a,1,0),h(a,1,1))=(ua​,va​) and (h(a,0,0),h(a,0,1))=(−va,ua)(h(a,0,0),h(a,0,1))=(-v_a,u_a)(h(a,0,0),h(a,0,1))=(−va​,ua​); then its value is (αh(a0,x0,0)h(a1,x1,0)−βh(a0,x0,1)h(a1,x1,1))2\bigl(\alpha h(a_0,x_0,0)h(a_1,x_1,0)-\beta h(a_0,x_0,1)h(a_1,x_1,1)\bigr)^2(αh(a0​,x0​,0)h(a1​,x1​,0)−βh(a0​,x0​,1)h(a1​,x1​,1))2. The CHSH table has value 1/4+2/81/4+\sqrt2/81/4+2​/8 when (x0≠x1)  ⟺  (a0=a1=1)(x_0\ne x_1)\iff(a_0=a_1=1)(x0​=x1​)⟺(a0​=a1​=1) and 1/4−2/81/4-\sqrt2/81/4−2​/8 otherwise. The Mermin table has two parties and three settings per party, with equal-outcome/unequal-outcome values (1/2,0)(1/2,0)(1/2,0) when a0=a1a_0=a_1a0​=a1​ and (1/8,3/8)(1/8,3/8)(1/8,3/8) otherwise. The GHZ table has three parties and two settings per party: when a0+a1+a2a_0+a_1+a_2a0​+a1​+a2​ is 000 or 222, its value is 1/41/41/4 if the outcome sum has odd parity at a=(0,0,0)a=(0,0,0)a=(0,0,0) or even parity at the other such settings, and 000 otherwise; at all remaining settings its value is 1/81/81/8. The declaration asserts the strict inequalities

U(Qoriginal Bell)<U(QCHSH),U(Qoptimized Bell)<U(QCHSH),U(QHardy)<U(QCHSH),U(QMermin)<U(QCHSH),U(QCHSH)<U(QGHZ),\begin{gathered} U(Q_{\mathrm{original\ Bell}})<U(Q_{\mathrm{CHSH}}),\qquad U(Q_{\mathrm{optimized\ Bell}})<U(Q_{\mathrm{CHSH}}),\\ U(Q_{\mathrm{Hardy}})<U(Q_{\mathrm{CHSH}}),\qquad U(Q_{\mathrm{Mermin}})<U(Q_{\mathrm{CHSH}}),\qquad U(Q_{\mathrm{CHSH}})<U(Q_{\mathrm{GHZ}}), \end{gathered}U(Qoriginal Bell​)<U(QCHSH​),U(Qoptimized Bell​)<U(QCHSH​),U(QHardy​)<U(QCHSH​),U(QMermin​)<U(QCHSH​),U(QCHSH​)<U(QGHZ​),​

and the equality F(QCHSH)=U(QCHSH)F(Q_{\mathrm{CHSH}})=U(Q_{\mathrm{CHSH}})F(QCHSH​)=U(QCHSH​).

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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