NDS fidelity minimization at a prescribed photon law
OpenQAlgorithms.Papers.Independent.Intakethird100.P54.nds_fidelity_minimizationLet 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 normalized pure NDS probe, and let be its total signal photon law. Then
for every normalized pure competitor with the same total law, allowing any finite number of retained idler modes. In addition, every probability law on multimode signal occupations is realized by a normalized NDS purification with one freely chosen optical idler.
Thus the bound is attained at a prescribed total law, in particular when the entire multimode occupation law is fixed; no adequate purification is postulated in an arbitrarily small prescribed idler space.
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
/-- NDS probes minimize fidelity at fixed TOTAL signal photon law, PDF p.6, (48).
Comparators have arbitrary finite idler count. Realizability is asserted with a freely
chosen single optical idler, rather than a possibly inadequate prescribed idler. -/
theorem nds_fidelity_minimization {M J : ℕ} (hM : 0 < M) (c : Channels)
(hc : ValidSplitters c) (hr : Reading c) (psi : Hilbert (Occupation (Fin J) × Occupation (Fin M)))
(hpsi : ‖psi‖ = 1) (hnds : IsNDS psi) :
outputFidelity c psi = (∑' n : ℕ, totalLaw psi n * (splitterOverlap c)^n)^2 ∧
(∀ (Jother : ℕ) (other : Hilbert (Occupation (Fin Jother) × Occupation (Fin M))),
‖other‖ = 1 → totalLaw other = totalLaw psi →
outputFidelity c psi ≤ outputFidelity c other) ∧
(∀ p : Occupation (Fin M) → ℝ, (∀ n, 0 ≤ p n) → Summable p → (∑' n, p n)=1 →
∃ z : Hilbert (Occupation (Fin 1) × Occupation (Fin M)),
‖z‖=1 ∧ IsNDS z ∧ signalLaw z=p) := 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 , allowing . Let two splitters have reflectances , both phases equal to zero, , and , with and . Let have norm and satisfy for every distinct . For any probe , put and . Define if componentwise and zero otherwise; define and . Let be the real supremum of over norm-one square-summable vectors on the output labels times whose respective marginals and equal ; the supremum of an empty defining set is . With , the theorem asserts
It also asserts that, for every and every norm-one satisfying for every , one has , without requiring to satisfy the orthogonality condition imposed on . Finally, for every summable function with and , there exists of norm such that for all distinct , and for every . Zero occupations and endpoint reflectances are included.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.