Exact and unbounded negativity ratio
OpenQAlgorithms.Papers.Independent.Intakethird100.P19.negativity_unboundedRatioAll 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. For every integer , let be the swap, , , and . Then is a state, is a PPT-preserving channel, and
Consequently, for every real , some in this family has and .
The dimension varies to produce arbitrary multiplicative increase.
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.14: the exact ratio for the source's constructed state/channel,
and its consequence of an unbounded multiplicative increase as dimension varies. -/
theorem negativity_unboundedRatio :
(∀ d : ℕ, 3 < d → IsDensityMatrix (antisymmetricDensity d) ∧
IsChannel (negativityMap d) ∧ PPTPreserving (negativityMap d) ∧
negativity (antisymmetricDensity d) = 1 / (d : ℝ) ∧
negativity (negativityMap d (antisymmetricDensity d)) = ((d : ℝ) - 1) / (2 * d) ∧
negativity (negativityMap d (antisymmetricDensity d)) / negativity (antisymmetricDensity d) =
((d : ℝ) - 1) / 2) ∧
(∀ C : ℝ, 0 < C → ∃ d : ℕ, 3 < d ∧
0 < negativity (antisymmetricDensity d) ∧
C * negativity (antisymmetricDensity d) < negativity (negativityMap d (antisymmetricDensity d))) := 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 each natural number , define
and
Then is positive semidefinite with trace , and is a channel: it admits a finite Kraus representation with . It also preserves operators that are both positive semidefinite and positive semidefinite after partial transpose on the first party; this preservation predicate additionally requires a finite Kraus representation. Define
The asserted values are
Furthermore, for every real , there exists a natural number such that and .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.