Theorem 18: exact rank-three preparation from an EPR pair
OpenQAlgorithms.Papers.Independent.Intakethird100.P95.theorem18Let be a finite probability vector: every entry is nonnegative and the entries sum to one. Write . All 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 . Assume that has exactly three strictly positive entries, ordered as . Then
This is the exact rank-three preparation criterion from one EPR pair.
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 p.8, Theorem 18, (47): ordered Schmidt probabilities, coefficients 2,2,4. -/
theorem theorem18 (lam : Fin 3 → ℝ) (hprob : IsProbability lam)
(hpos : ∀ i, 0 < lam i) (hsorted : Monotone lam) :
Reach (maximallyEntangledDensity 2) (schmidtDensity lam) ↔
2 * (Real.sqrt (lam 2 * lam 1) + Real.sqrt (lam 2 * lam 0)) +
4 * Real.sqrt (lam 0 * lam 1) ≤ 1 := 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
For every probability vector satisfying and , let , and let on have entry at and zero entries elsewhere. There exists a complex-linear, trace-preserving, completely positive map with and with completely positive if and only if
Here is partial transpose on the second tensor factor, ; trace preservation applies to every matrix, and complete positivity requires positivity preservation after every finite identity amplification, including size zero.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.