Theorem 7: sufficient pure-state conversion condition
OpenQAlgorithms.Papers.Independent.Intakethird100.P19.sufficient_pureConversionAll 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 and be bipartite pure states, possibly on different registers, and let be the largest squared Schmidt coefficient of . For standard robustness , if
then there exists a non-entangling channel such that .
This is a sufficient condition for exact conversion.
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 7, PDF p.11: a sufficient conversion criterion. The denominator
is positive for every unit ket; the conclusion is not an equivalence. -/
theorem sufficient_pureConversion {a b c d : ℕ}
(ha : 0 < a) (hb : 0 < b) (hc : 0 < c) (hd : 0 < d)
(psi : UnitBipartiteKet a b) (phi : UnitBipartiteKet c d)
(hcriterion : 1 + standardStateRobustness phi.rho ≤ 1 / schmidtAt psi.ket 0) :
∃ L : Superop (Fin a × Fin b) (Fin c × Fin d),
IsChannel L ∧ NE L ∧ L psi.rho = phi.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 all positive natural numbers and unit vectors and , let , , and let be the largest eigenvalue of the marginal matrix . Define as the real infimum of all for which there is a separable density matrix such that is separable positive. “Separable positive” means a finite nonnegative sum of tensor products of positive semidefinite trace-one matrices, with the empty sum allowed, and a separable density matrix additionally is positive semidefinite of trace . If , then there exists a map with that is a channel and is non-entangling. Explicitly, has a finite Kraus representation valid for every operator , with , and it maps every separable positive input to a separable positive output; the non-entangling condition also includes the existence of a finite Kraus representation without a normalization requirement. No lower bound greater than is imposed on any of the four dimensions.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.