Advantage criterion in the independent-error quality model
ProvedQAlgorithms.Papers.Independent.Intakethird100.P39.quality_advantageLet with , let be trace fidelities, let , and let . In the assumed independent-error and scalar-relaxation model, define . The direct module has greater quality than a decomposition with occurrences and sequential slots precisely when
When relaxation is suppressed the criterion is . This is a scalar comparison within the stated model, not an assertion of independent propagation for arbitrary coherent errors.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P39
namespace QAlgorithms.Papers.Independent.Intakethird100.P39
open scoped BigOperators
/-- PDF pp.5-6, Eq. (15): an equivalent advantage criterion inside the
independent-error quality model. Fidelity counts r occurrences, relaxation
counts rprime sequential slots. The second clause suppresses relaxation. -/
theorem quality_advantage (r rprime : ℕ) (hr : rprime ≤ r)
(F2 Fm tau2 taum TR : ℝ)
(hF2 : F2 ∈ Set.Icc (-1) 1) (hFm : Fm ∈ Set.Icc (-1) 1) (hTR : 0 < TR)
(htau2 : 0 ≤ tau2) (htaum : 0 ≤ taum) :
(Fm > F2 ^ r * Real.exp (-((rprime : ℝ) * tau2 - taum) / TR) ↔
quality Fm taum TR > quality (F2 ^ r) ((rprime : ℝ) * tau2) TR) ∧
(quality Fm 0 TR > quality (F2 ^ r) 0 TR ↔ Fm > F2 ^ r) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P39
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What the Lean code literally says, in plain math · gpt-6.1-sol
For natural numbers satisfying , and real numbers satisfying , , , , and , the following two equivalences both hold after expanding :
and
Negative values of either fidelity parameter and zero durations are permitted. The case is included, forces , and uses , including when .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.