Pure coherent probes attain the classical optimum
OpenQAlgorithms.Papers.Independent.Intakethird100.P54.classical_optimumLet be the finite number of signal modes and the finite number of retained idler modes, on the full optical Fock spaces. The two channels have equal priors, independent vacuum environments, reflectances , field magnitudes and , and distinct complex reflection coefficients . Every signal mode sees the same channel; idlers are retained losslessly and environment outputs are inaccessible. Write for squared Uhlmann fidelity, for minimum average error over all joint binary receivers, , and , with zero powers interpreted as support projections. Here the common phase is removed, so and . Put .
Let be any probability measure on joint signal and idler coherent amplitudes. Allow arbitrary classical correlations, including Dirac masses. Suppose the signal energy is integrable and its -mean is . The corresponding classical mixture satisfies
A pure product coherent probe of signal energy attains equality. No constraint is placed on idler energy.
This classical optimum combines the coherent error formula with the bound explicitly credited to Theorem 1 of reference [3]. It concerns vacuum background.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P54
noncomputable section
open scoped BigOperators ComplexConjugate
open MeasureTheory Filter
namespace QAlgorithms.Papers.Independent.Intakethird100.P54
open QAlgorithms.RealRegisters (Hilbert)
open QAlgorithms.Papers.Independent.Claimed50.P47 (Occupation)
open QAlgorithms.Papers.Independent.Dependency50.P39 (coherentCoefficient)
attribute [local instance] Classical.propDecidable
attribute [local instance] Classical.decEq
/-- Optimal classical performance, PDF p.8, combining (61) with the explicitly
cited Theorem 1 of [3]. Arbitrary correlated coherentOpticalProbe-lossAmplitude probability measures
and Dirac masses are included; only mean SIGNAL energy is constrained. -/
theorem classical_optimum {M J : ℕ} (hM : 0 < M) (c : Channels)
(hc : ValidSplitters c) (hr : Reading c)
(nu : Measure ((Fin J → ℂ) × (Fin M → ℂ))) [IsProbabilityMeasure nu]
(N : ℝ) (hN : 0 ≤ N) (hint : Integrable (fun a => coherentEnergy a.2) nu)
(henergy : (∫ a, coherentEnergy a.2 ∂nu)=N) :
lowerError (Real.exp (-coherentExponent c*N)) ≤
opticalError (classicalReturned (c false) nu) (classicalReturned (c true) nu) ∧
∃ (beta : Fin J → ℂ) (alpha : Fin M → ℂ), coherentEnergy alpha=N ∧
outputError c (coherentOpticalProbe beta alpha)=lowerError (Real.exp (-coherentExponent c*N)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P54
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
Let with , and let be a pair of splitters with reflectances and phases , satisfying , unequal fields , and . Let be a probability measure on , and let satisfy , integrability of , and . Put , define , and let be the function as an vector if square summable, and otherwise. Define
For any probe , also define , where and for , and otherwise. A resolution of a kernel is , with nonnegative summable weights of sum , unit vectors at positive weights, and orthogonality between distinct positive-weight vectors; zero-weight vectors are unrestricted. Let be the real infimum over resolutions of and bounded complex-linear effects satisfying and , of ; the empty defining set has infimum . The assertion is
and there exist and such that
The statement allows , , and reflectance endpoints. Infinite sums are total sums, equal to when not summable, and the kernel integrals displayed above are the entrywise complex integrals appearing in the definition.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.