Theorem 11: superactivation of a non-entangling channel
OpenQAlgorithms.Papers.Independent.Intakethird100.P19.nonEntangling_superactivationAll 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. There exists a channel on two qubits that is non-entangling, while
Thus this operation class is not closed under tensor products.
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)
/-- Theorem 11, PDF pp.15-16: a two-qubit channel is non-entangling,
but its tensor square generates entanglement across AA':BB'. -/
theorem nonEntangling_superactivation :
∃ L : Superop (Fin 2 × Fin 2) (Fin 2 × Fin 2),
IsChannel L ∧ NE L ∧ ¬ NE (tensorMaps L L) := 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
There exists a channel on operators on that is non-entangling, while its tensor square, with the two first-party factors grouped together and the two second-party factors grouped together, is not non-entangling. A channel has a finite representation with ; being non-entangling means having a finite Kraus representation, without a normalization requirement, and preserving the cone of finite nonnegative sums of tensor products of positive semidefinite trace-one matrices, including the empty sum. Precisely, the grouped tensor-square map is defined by
where every scalar index ranges over and denotes a matrix unit; the conclusion is the negation of the entire non-entangling condition for .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.