Coherent polar encoding polarizes the phase channel
OpenQAlgorithms.Papers.Independent.Intakethird100.P23.phase_polarizationLet be an isometry, so , defining a memoryless channel to Bob and its fixed complementary channel to Eve. All binary inputs are uniform and entropies are in bits. At recursion depth , let and apply the coherent Arikan encoder , where . Amplitude synthesis retains previous bits and averages future bits; phase synthesis retains future bits and averages previous bits, with Bob's coherent copy register retained. Write for the root fidelity of a binary channel . Fix and put . Let be the respective amplitude-good, phase-good, and Eve-amplitude-good sets, with the strict rule . Write and . Each set depends on and .
The physical encoded purification for a phase string is
Construct the synthesized phase channels from its marginal with the reverse history convention above. If is the single-use phase channel's symmetric Holevo information, then
This identifies the asymptotic supply of phase-good positions for the coding scheme.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P23
namespace QAlgorithms.Papers.Independent.Intakethird100.P23
open scoped BigOperators ComplexConjugate Matrix
open Filter
open QAlgorithms (Qubits)
open QAlgorithms.Papers.Independent.Information100.P67 (IsDegradable)
attribute [local instance] Classical.propDecidable
/-- Phase polarization for the actual Eq.(8) vector and reverse side information
(I.B, PDF pp.2–3); the limit is along N=2^n. -/
theorem phase_polarization {b e : ℕ} (U : Matrix (Fin b × Fin e) Bool ℂ)
(hU : Uᴴ * U = 1) (beta : ℝ) (hbeta0 : 0 < beta) (hbeta1 : beta < 1 / 2) :
Tendsto (fun n => indexRate (goodPhase U n beta)) atTop (nhds (phaseInformation U)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P23
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What the Lean code literally says, in plain math · gpt-6.1-sol
For all natural numbers , every complex matrix with rows indexed by and Boolean columns satisfying , and every real satisfying , the following convergence holds. Identify Boolean values with . For each natural number , including , set and define a binary matrix by
with entry zero otherwise, and define . Define vectors and matrices
Thus is indexed by pairs . For , let be the full length- bit string whose -th bit is when , and zero otherwise, and put
For square matrices define
where the matrix functions use the real continuous functional calculus. Let . With , the asserted limit is
The isometry hypothesis cannot hold if or .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.