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Theorem 14: NPT conversion by PPT and dually non-entangling channels

Open
QAlgorithms.Papers.Independent.Intakethird100.P19.npt_toDistillable

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

prove2quantum

All Hilbert spaces are finite-dimensional complex spaces with fixed product bases and positive local dimensions. States are positive semidefinite operators of trace one; pure kets have norm one. LOCC-distillable means that channels Λn\Lambda_nΛn​ obtainable by local operations and classical communication satisfy ∥Λn(ρ⊗n)−ϕ2+∥1→0\|\Lambda_n(\rho^{\otimes n})-\phi_2^+\|_1\to0∥Λn​(ρ⊗n)−ϕ2+​∥1​→0, with copies regrouped by party. For every state ρ\rhoρ with ρΓ≱0\rho^\Gamma\not\ge0ρΓ≥0, there exists a channel Λ\LambdaΛ to two qubits such that

Λ is dually non-entangling,J(Λ) is PPT across AoutAin:BoutBin,Λ(ρ) is LOCC-distillable.\Lambda\text{ is dually non-entangling},\quad J(\Lambda)\text{ is PPT across }A_{\rm out}A_{\rm in}:B_{\rm out}B_{\rm in},\quad\Lambda(\rho)\text{ is LOCC-distillable}.Λ is dually non-entangling,J(Λ) is PPT across Aout​Ain​:Bout​Bin​,Λ(ρ) is LOCC-distillable.

This is the strengthened NPT conversion advertised in the abstract.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P19
Formal statement
noncomputable section

open QAlgorithms QAlgorithms.Entanglement Filter

open scoped Matrix ComplexOrder ComplexConjugate ENNReal

attribute [local instance] Classical.propDecidable Classical.decEq

namespace QAlgorithms.Papers.Independent.Intakethird100.P19

open QAlgorithms.Papers.Independent.Information100.P21 (Op FiniteLOCC)

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

open QAlgorithms.Papers.Independent.Information100.P69 (CP)

open QAlgorithms.Papers.Independent.Information100.P71 (supportPower SupportIncluded)

open QAlgorithms.Papers.Independent.Dependency50.P19 (epr)

/-- Theorem 14, PDF p.17 (abstract headline p.1): a single-copy NPT input
is converted to a two-qubit LOCC-distillable state by a channel which is both
dually non-entangling and PPT in its grouped Choi representation. -/
theorem npt_toDistillable {a b : ℕ} (ha : 0 < a) (hb : 0 < b)
    (rho : Bip a b) (hrho : IsDensityMatrix rho)
    (hnpt : ¬ (partialTransposeFirst rho).PosSemidef) :
    ∃ L : Superop (Fin a × Fin b) (Fin 2 × Fin 2),
      IsChannel L ∧ DNE L ∧ ChoiPPT L ∧ LOCCDistillable (L rho) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P19

end
Source
Entanglement manipulation and distillability beyond LOCC, arXiv:1711.03835v2, PDF p. 17, Theorem 14
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What the Lean code literally says, in plain math · gpt-6.1-sol

For all positive natural numbers a,ba,ba,b and every positive semidefinite trace-one matrix ρ\rhoρ on Ca⊗Cb\mathbb C^a\otimes\mathbb C^bCa⊗Cb whose first partial transpose is not positive semidefinite, there exists a channel LLL to operators on C2⊗C2\mathbb C^2\otimes\mathbb C^2C2⊗C2 such that both LLL and its trace-bilinear dual are non-entangling, its party-grouped Choi matrix has positive partial transpose, and L(ρ)L(\rho)L(ρ) is LOCC-distillable. Here (XTA)(i,j),(i′,j′)=X(i′,j),(i,j′)(X^{T_A})_{(i,j),(i',j')}=X_{(i',j),(i,j')}(XTA​)(i,j),(i′,j′)​=X(i′,j),(i,j′)​, and the grouped Choi matrix is

JL(u,i),(v,j); (u′,i′),(v′,j′)=L(E(i,j),(i′,j′))(u,v),(u′,v′).J_L{}_{(u,i),(v,j);\,(u',i'),(v',j')} = L(E_{(i,j),(i',j')})_{(u,v),(u',v')}.JL​(u,i),(v,j);(u′,i′),(v′,j′)​=L(E(i,j),(i′,j′)​)(u,v),(u′,v′)​.

The Choi condition requires both JLJ_LJL​ and its partial transpose on the (u,i)(u,i)(u,i) factor to be positive semidefinite, as well as a finite Kraus representation for LLL. A channel has such a representation L(X)=∑jEjXEj†L(X)=\sum_jE_jXE_j^\daggerL(X)=∑j​Ej​XEj†​ with ∑jEj†Ej=I\sum_jE_j^\dagger E_j=I∑j​Ej†​Ej​=I. Each non-entangling condition means having a finite Kraus representation and preserving finite nonnegative sums of tensor products of positive semidefinite trace-one matrices, including the empty sum; the dual is (L∨(Y))ij=Tr⁡(L(Eji)Y)(L^\vee(Y))_{ij}=\operatorname{Tr}(L(E_{ji})Y)(L∨(Y))ij​=Tr(L(Eji​)Y). Distillability means that L(ρ)L(\rho)L(ρ) is a density matrix and there are channels Λn\Lambda_nΛn​, each a finite LOCC map, with ∥Λn(L(ρ)⊗(n+1))−Φ2∥1→0\|\Lambda_n(L(\rho)^{\otimes(n+1)})-\Phi_2\|_1\to0∥Λn​(L(ρ)⊗(n+1))−Φ2​∥1​→0, where Φ2=∣Ω2⟩⟨Ω2∣\Phi_2=|\Omega_2\rangle\langle\Omega_2|Φ2​=∣Ω2​⟩⟨Ω2​∣, ∣Ω2⟩=(∣00⟩+∣11⟩)/2|\Omega_2\rangle=(|00\rangle+|11\rangle)/\sqrt2∣Ω2​⟩=(∣00⟩+∣11⟩)/2​, and ∥M∥1=Re⁡Tr⁡M†M\|M\|_1=\operatorname{Re}\operatorname{Tr}\sqrt{M^\dagger M}∥M∥1​=ReTrM†M​. Finite LOCC maps are generated by identity maps and finite complete local Kraus measurements with branch-dependent finite LOCC continuations. One-dimensional input factors are permitted by the dimension hypotheses, but cannot satisfy the assumed failure of positivity of the partial transpose.

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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