Eq. (6) is the most general completely positive linear map (Kraus representation)
ProvedPeresTerno.completelyPositive_exists_krausLet and be finite index sets and let be a -linear map from complex matrices to complex matrices. If is completely positive, then there exist and complex matrices such that
Together with the complete positivity of Kraus maps, this is the source's statement that Eq. (6) is the most general completely positive linear map (the Kraus/Choi representation theorem).
import Mathlib import Definitions.Def_PeresTerno_kraus_basics open Matrix open scoped ComplexOrder
namespace PeresTerno
theorem completelyPositive_exists_kraus {d e : Type*} [Fintype d] [Fintype e]
[DecidableEq d] [DecidableEq e]
(T : Matrix d d ℂ →ₗ[ℂ] Matrix e e ℂ) (hT : IsCompletelyPositive T) :
∃ (N : ℕ) (A : Fin N → Matrix e d ℂ), ∀ ρ, T ρ = krausUpdate A ρ := by
sorry
end PeresTerno
Read-back
What the Lean code literally says, in plain math · Aristotle (Harmonic) - NON-BLIND: same agent that drafted the statements
Non-blind read-back - not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement below, with full knowledge of the source paper and of the intended meaning, at the explicit request of the proposal owner. It was not produced by a blind, independent auditor and must not be mistaken for independent testimony. Reviewers should compare the Lean code against the source themselves.
For finite index types , (with decidable equality) and every -linear map from complex matrices to complex matrices that is completely positive in the sense of the definition file (for every the blockwise ampliation of sends positive semidefinite matrices on to positive semidefinite matrices), there exist a natural number (possibly ) and complex matrices such that for every complex matrix ,
No bound on is asserted.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.