Relative Petz Renyi entanglement is non-entangling monotone
OpenQAlgorithms.Papers.Independent.Intakethird100.P19.relativeRenyi_monotoneAll 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. A non-entangling map is completely positive and preserves the full separable positive cone. A channel is also trace preserving. Let be any bipartite density matrix, let be a non-entangling channel, and let . Define as the infimum of base-two Petz divergence over all separable density matrices. Then
This includes the mixed-state result and both endpoints.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P19
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)
/-- PDF p.10: Petz relative-Renyi entanglement monotonicity for mixed inputs
and every order in [0,2], including the Umegaki branch. -/
theorem relativeRenyi_monotone {a b c d : ℕ}
(ha : 0 < a) (hb : 0 < b) (hc : 0 < c) (hd : 0 < d)
(alpha : ℝ) (h0 : 0 ≤ alpha) (h2 : alpha ≤ 2)
(rho : Bip a b) (hrho : IsDensityMatrix rho)
(L : Superop (Fin a × Fin b) (Fin c × Fin d)) (hL : IsChannel L) (hne : NE L) :
relativeRenyi alpha (L rho) ≤ relativeRenyi alpha rho := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P19
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
For positive natural numbers , a real order , and a positive semidefinite trace- matrix on , let be a channel to that preserves separable positive operators. Explicitly, for a finite family satisfying , and it maps every finite sum of nonnegative multiples of tensor products of density matrices to another such sum; empty sums are included. For a positive semidefinite matrix , define by functional calculus using at and otherwise, including . For density matrices , define the extended nonnegative quantity
where logarithms of matrices use functional calculus with the total real logarithm, whose value at zero is zero. Let be the infimum of over all density matrices expressible as finite nonnegative weighted sums of products of density matrices. Then
in . Both endpoint orders and the separate order- definition are included.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.