Gross and signed net polar index rates
OpenQAlgorithms.Papers.Independent.Intakethird100.P23.gross_and_net_ratesLet 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 .
For every , the exact identity is
There exist real limits and , and they satisfy
Here and are symmetric Holevo informations, and is evaluated on the purification of the maximally mixed qubit input. The net rate is a signed real quantity.
These identities distinguish generated and consumed ebits without optimizing or regularizing coherent information.
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
/-- Exact set identity, existence of gross-rate limits, Eq.(10), and signed
net-rate limit (Appendix A, PDF p.6). Casts precede subtraction. -/
theorem gross_and_net_rates {b e : ℕ} (U : Matrix (Fin b × Fin e) Bool ℂ)
(hU : Uᴴ * U = 1) (beta : ℝ) (hbeta0 : 0 < beta) (hbeta1 : beta < 1 / 2) :
(∀ n, ((informationSet U n beta).card : ℝ) - ((consumedSet U n beta).card : ℝ) =
((goodAmplitude U n beta).card : ℝ) + ((goodPhase U n beta).card : ℝ) -
((2 ^ n : ℕ) : ℝ)) ∧
(∃ generated consumed : ℝ,
Tendsto (fun n => indexRate (informationSet U n beta)) atTop (nhds generated) ∧
Tendsto (fun n => indexRate (consumedSet U n beta)) atTop (nhds consumed) ∧
generated = amplitudeInformation U + phaseInformation U - 1 + consumed ∧
generated = symmetricCoherentInformation U + consumed) ∧
Tendsto (fun n => indexRate (informationSet U n beta) - indexRate (consumedSet U n beta))
atTop (nhds (symmetricCoherentInformation 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 , define the following quantities, identifying bits with . For each , put , let
and set
Write , , and . Let retain the bits with and set all other bits to zero, and let retain the bits with and set all others to zero. Define
where in the second formula the classical label is . For square matrices put and , using real continuous functional calculus. Define
For , abbreviate , , and , and put
The declaration asserts all three conclusions:
there exist real numbers such that
and
Cardinalities in the subtraction identity are interpreted as real numbers. The universal identity includes , for which ; the isometry hypothesis is impossible when or .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.