Abstract and Section IV: PPT catalysis exists with a maximally entangled catalyst
OpenQAlgorithms.Papers.Independent.Intakethird100.P95.pptCatalysisAll logarithms have base two. A PPT operation is a completely positive, trace-preserving map such that is completely positive for arbitrary finite ancillary systems; transposes Bob in the fixed product basis. For a positive integer , denotes the maximally entangled state of Schmidt rank . There exists a strictly positive three-entry probability vector for which
Hence PPT catalysis occurs even when the catalyst is maximally entangled, as asserted in the abstract and Section IV.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P95
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.1,9–10: PPT catalysis exists, even with a maximally entangled catalyst.
Figure 1 and the strict inclusion following (51) identify an EPR input and rank-three target. -/
theorem pptCatalysis :
∃ lam : Fin 3 → ℝ, IsProbability lam ∧ (∀ i, 0 < lam i) ∧
¬ Reach (maximallyEntangledDensity 2) (schmidtDensity lam) ∧ CatalyticPreparation 2 lam := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P95
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
There exists a vector with and for which no complex-linear, trace-preserving map sends to while making both and completely positive, but for which there exist an integer and such a map sending to . Here , and has entries at and zero elsewhere. The tensor products group each party’s two factors together, and transposes the second party’s factor, . Trace preservation holds for every matrix, and complete positivity requires positivity preservation after every finite identity amplification, including size zero. No ordering of the three entries is required.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.