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Proposition 9: Schmidt-coordinate primal SDP

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QAlgorithms.Papers.Independent.Intakethird100.P95.proposition9

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

prove2quantum

Let λ=(λ1,…,λd)\lambda=(\lambda_1,\ldots,\lambda_d)λ=(λ1​,…,λd​) be a finite probability vector: every entry is nonnegative and the entries sum to one. Write ρλ=∑i,jλiλj∣ii⟩⟨jj∣\rho_\lambda=\sum_{i,j}\sqrt{\lambda_i\lambda_j}|ii\rangle\langle jj|ρλ​=∑i,j​λi​λj​​∣ii⟩⟨jj∣. All logarithms have base two. A PPT operation is a completely positive, trace-preserving map LLL such that ΓoutLΓin\Gamma_{\rm out}L\Gamma_{\rm in}Γout​LΓin​ is completely positive for arbitrary finite ancillary systems; Γ\GammaΓ transposes Bob in the fixed product basis. Assume in addition that all entries of λ\lambdaλ are strictly positive, so ddd is its Schmidt rank. For a positive integer KKK, ΦK\Phi_KΦK​ denotes the maximally entangled state of Schmidt rank KKK. For K≥2K\ge2K≥2, let T(K;λ)T(K;\lambda)T(K;λ) be the minimum of the Schmidt-coordinate primal SDP (20), defined independently of operational reachability. Its real variables sijs_{ij}sij​ for j≤ij\le ij≤i and aija_{ij}aij​ for j<ij<ij<i obey sij≥λiλj/(K+1)s_{ij}\ge\sqrt{\lambda_i\lambda_j}/(K+1)sij​≥λi​λj​​/(K+1) and aij≥λiλj/(K−1)a_{ij}\ge\sqrt{\lambda_i\lambda_j}/(K-1)aij​≥λi​λj​​/(K−1), and the matrix ∑i≥jsijσijΓ+∑i>jaijαijΓ\sum_{i\ge j}s_{ij}\sigma_{ij}^{\Gamma}+\sum_{i>j}a_{ij}\alpha_{ij}^{\Gamma}∑i≥j​sij​σijΓ​+∑i>j​aij​αijΓ​ is positive semidefinite. The objective is ∑sij+∑aij\sum s_{ij}+\sum a_{ij}∑sij​+∑aij​. Here σii=∣ii⟩⟨ii∣\sigma_{ii}=|ii\rangle\langle ii|σii​=∣ii⟩⟨ii∣, while the off-diagonal symmetric and antisymmetric projectors are (∣ij⟩±∣ji⟩)(⟨ij∣±⟨ji∣)/2(|ij\rangle\pm|ji\rangle)(\langle ij|\pm\langle ji|)/2(∣ij⟩±∣ji⟩)(⟨ij∣±⟨ji∣)/2. The minimum is attained, and

ΦK→PPTρλ⟺T(K;λ)≤1.\Phi_K\to^{\rm PPT}\rho_\lambda\quad\Longleftrightarrow\quad T(K;\lambda)\le1.ΦK​→PPTρλ​⟺T(K;λ)≤1.

This translates pure-state preparation into Schmidt-coordinate semidefinite optimization.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P95
Formal statement
noncomputable section

open scoped BigOperators Matrix ComplexOrder

open Filter

namespace QAlgorithms.Papers.Independent.Intakethird100.P95

attribute [local instance] Classical.propDecidable Classical.decEq

-- Exact primitives from the pinned accepted library; no local aliases.

open QAlgorithms.Papers.Independent.Claimed50.P28 (maximallyEntangledDensity)

open QAlgorithms.Papers.Independent.Information100.P27 (IsProbability)

open QAlgorithms.Papers.Independent.Information100.P63 (logTwo)

open QAlgorithms.Papers.Independent.Information100.P19 (outer)

open QAlgorithms.Papers.Independent.Dependency50.P18 (bipartiteTensor)

open QAlgorithms.Papers.Independent.Support50.P11 (Loewner)

/-- PDF pp.5–6, Proposition 9: the primal minimum is attained and characterizes preparation. -/
theorem proposition9 {d : ℕ} (K : ℕ) (hK : 2 ≤ K) (lam : Fin d → ℝ)
    (hprob : IsProbability lam) (hpos : ∀ i, 0 < lam i) :
    IsLeast (primalValues K lam) (primalValue K lam) ∧
      (Reach (maximallyEntangledDensity K) (schmidtDensity lam) ↔ primalValue K lam ≤ 1) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P95

end
Source
Pure-state transformations and catalysis under operations that completely preserve positivity of partial transpose, arXiv:0801.4322v2, PDF p. 5, Proposition 9: Schmidt-coordinate primal SDP
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What the Lean code literally says, in plain math · gpt-6.1-sol

Let d,K∈Nd,K\in\mathbb Nd,K∈N, with K≥2K\ge2K≥2, and let λ=(λi)i=0d−1\lambda=(\lambda_i)_{i=0}^{d-1}λ=(λi​)i=0d−1​ satisfy λi>0\lambda_i>0λi​>0 for every iii and ∑iλi=1\sum_i\lambda_i=1∑i​λi​=1; thus d=0d=0d=0 is excluded. For 0≤j≤i<d0\le j\le i<d0≤j≤i<d, let Sii=∣i,i⟩⟨i,i∣S_{ii}=|i,i\rangle\langle i,i|Sii​=∣i,i⟩⟨i,i∣ and, when i≠ji\ne ji=j, let Sij=12(∣i,j⟩+∣j,i⟩)(⟨i,j∣+⟨j,i∣)S_{ij}=\tfrac12(|i,j\rangle+|j,i\rangle)(\langle i,j|+\langle j,i|)Sij​=21​(∣i,j⟩+∣j,i⟩)(⟨i,j∣+⟨j,i∣); for 0≤j<i<d0\le j<i<d0≤j<i<d, let Aij=12(∣i,j⟩−∣j,i⟩)(⟨i,j∣−⟨j,i∣)A_{ij}=\tfrac12(|i,j\rangle-|j,i\rangle)(\langle i,j|-\langle j,i|)Aij​=21​(∣i,j⟩−∣j,i⟩)(⟨i,j∣−⟨j,i∣). Write Γ\GammaΓ for partial transposition on the second subsystem and define

C(s,a)=∑j≤isijΓSij+∑j<iaijΓAij.C(s,a)=\sum_{j\le i}s_{ij}\Gamma S_{ij} +\sum_{j<i}a_{ij}\Gamma A_{ij}.C(s,a)=j≤i∑​sij​ΓSij​+j<i∑​aij​ΓAij​.

Let PK(λ)\mathcal P_K(\lambda)PK​(λ) consist of the real values ∑j≤isij+∑j<iaij\sum_{j\le i}s_{ij}+\sum_{j<i}a_{ij}∑j≤i​sij​+∑j<i​aij​ for real coefficient families satisfying sij≥λiλj/(K+1)s_{ij}\ge\sqrt{\lambda_i\lambda_j}/(K+1)sij​≥λi​λj​​/(K+1), aij≥λiλj/(K−1)a_{ij}\ge\sqrt{\lambda_i\lambda_j}/(K-1)aij​≥λi​λj​​/(K−1), and C(s,a)⪰0C(s,a)\succeq0C(s,a)⪰0, and put pK(λ)=inf⁡PK(λ)p_K(\lambda)=\inf\mathcal P_K(\lambda)pK​(λ)=infPK​(λ) in R\mathbb RR. Then pK(λ)p_K(\lambda)pK​(λ) belongs to this set and is no greater than every member. Furthermore, with ρλ=∣∑iλi∣i,i⟩∣2\rho_\lambda=|\sum_i\sqrt{\lambda_i}|i,i\rangle|^2ρλ​=∣∑i​λi​​∣i,i⟩∣2 understood as the outer product of that vector with itself and ΩK=K−1∑u,v<K∣u,u⟩⟨v,v∣\Omega_K=K^{-1}\sum_{u,v<K}|u,u\rangle\langle v,v|ΩK​=K−1∑u,v<K​∣u,u⟩⟨v,v∣, there exists a complex-linear, trace-preserving, completely positive map taking ΩK\Omega_KΩK​ exactly to ρλ\rho_\lambdaρλ​ and remaining completely positive after partial transposition on the second subsystem before and after the map if and only if pK(λ)≤1p_K(\lambda)\le1pK​(λ)≤1. Complete positivity includes every finite-dimensional identity amplification, and for d=1d=1d=1 the antisymmetric index set is empty.

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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