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Supplement III.B, Eqs.(146)–(149): exact illumination spectrum with source corrections

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QAlgorithms.Papers.Independent.Intakethird100.P49.illumination_exact_spectrum

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Let d≥1d\ge1d≥1 be the number of single-photon modes, D=d+1D=d+1D=d+1, 0≤b0\le b0≤b, db≤1db\le1db≤1, and 0≤η≤10\le\eta\le10≤η≤1. With one photon total plus vacuum, set τb=(1−db)∣0⟩⟨0∣+bIone\tau_b=(1-db)|0\rangle\langle0|+bI_{\rm one}τb​=(1−db)∣0⟩⟨0∣+bIone​, E0(X)=tr⁡(X)τb\mathcal E_0(X)=\operatorname{tr}(X)\tau_bE0​(X)=tr(X)τb​, and E1=(1−η)E0+η id\mathcal E_1=(1-\eta)\mathcal E_0+\eta\,\mathrm{id}E1​=(1−η)E0​+ηid. These are CPTP. For their normalized Choi states σ,ρ\sigma,\rhoσ,ρ, put Ω2=σρσ\Omega^2=\sqrt\sigma\rho\sqrt\sigmaΩ2=σ​ρσ​ and a=1−dba=1-dba=1−db. Its spectrum, including multiplicity, consists of

d2 copies of (1−η)b2D2,d copies of (1−η)a2D2,spec⁡(C/D2),d^2\text{ copies of }\frac{(1-\eta)b^2}{D^2},\quad d\text{ copies of }\frac{(1-\eta)a^2}{D^2},\quad\operatorname{spec}(C/D^2),d2 copies of D2(1−η)b2​,d copies of D2(1−η)a2​,spec(C/D2),

where C00=(1−η)a2+ηaC_{00}=(1-\eta)a^2+\eta aC00​=(1−η)a2+ηa, C0k=Ck0=ηabC_{0k}=C_{k0}=\eta\sqrt{ab}C0k​=Ck0​=ηab​, Ckk=(1−η)b2+ηbC_{kk}=(1-\eta)b^2+\eta bCkk​=(1−η)b2+ηb for k>0k>0k>0, and Cjk=ηbC_{jk}=\eta bCjk​=ηb for distinct positive j,kj,kj,k. Thus F(σ,ρ)=∑λ∈spec⁡(Ω2)λF(\sigma,\rho)=\sum_{\lambda\in\operatorname{spec}(\Omega^2)}\sqrt\lambdaF(σ,ρ)=∑λ∈spec(Ω2)​λ​. The factors 1−η1-\eta1−η omitted in the printed spectrum and lower-block diagonal are restored from exact Eq. (148), pending independent correction review. This retains an exact finite illumination calculation without relying on the subsequent expansion.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P49
Formal statement
noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P49

open QAlgorithms Filter

open scoped Matrix ComplexConjugate ComplexOrder BigOperators

attribute [local instance] Classical.propDecidable Classical.decEq

open QAlgorithms.Papers.Independent.Information100.P63 (Mat tensorPower)

open QAlgorithms.Papers.Independent.Dependency50.P18 (bipartiteTensor)

open QAlgorithms.Papers.Independent.Information100.P71 (diamond AdaptiveTest adaptiveInput adaptiveAccept)

open QAlgorithms.Papers.Independent.Bridge50.P25
  (LOCCOn normalizedChannelChoi TwoWayGenerationCode TwoWayChannelProtocol
   generationCodeError twoWayGenerationCapacity sendChannelRegister StateFunctional
   IsDimensionChangingLOCCMonotone privateStateInPartyOrder)

open QAlgorithms.Papers.Independent.Support50.P07 (amplitudeDampingChannel)

/-- Supplement III.B, PDF p.17, (146)--(149): exact illumination spectrum.
Printed d^2-fold eigenvalue b^2/D^2 is changed to (1-eta)*b^2/D^2;
printed lower-block diagonal is changed as documented in illuminationBlock.
Both corrections are forced by exact (148); independent moderation is required.
Eigenvalues are a multiset, so coincidences and zero eigenvalues keep multiplicity. -/
theorem illumination_exact_spectrum (d : ℕ) (hd : 1 ≤ d) (b eta : ℝ)
    (hb : 0 ≤ b) (hdb : (d : ℝ)*b ≤ 1) (heta : eta ∈ Set.Icc 0 1) :
    IsChannel (illuminationChannel d b 0) ∧ IsChannel (illuminationChannel d b eta) ∧
    (List.ofFn (ascEigenvalues (illuminationOmegaSquared d b eta))).Perm
      (List.replicate (d*d) ((1-eta)*b^2/((d : ℝ)+1)^2) ++
       List.replicate d ((1-eta)*(1-d*b)^2/((d : ℝ)+1)^2) ++
       List.ofFn (ascEigenvalues (illuminationBlock d b eta))) ∧
    rootFidelity (normalizedChannelChoi (illuminationChannel d b 0))
      (normalizedChannelChoi (illuminationChannel d b eta)) =
      ∑ i, Real.sqrt (ascEigenvalues (illuminationOmegaSquared d b eta) i) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P49

end
Source
Fundamental limits to quantum channel discrimination, arXiv:1803.02834v4, PDF p. 17, Supplement III.B, Eqs.(146)–(149): exact illumination spectrum with source corrections
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What the Lean code literally says, in plain math · gpt-6.1-sol

For every natural number d≥1d\ge1d≥1 and real numbers b,ηb,\etab,η satisfying b≥0b\ge0b≥0, db≤1db\le1db≤1, and 0≤η≤10\le\eta\le10≤η≤1, put D=d+1D=d+1D=d+1, let τ=diag⁡(1−db,b,…,b)\tau=\operatorname{diag}(1-db,b,\ldots,b)τ=diag(1−db,b,…,b) on CD\mathbb C^DCD, and define the matrix map

Nη(X)=(1−η)tr⁡(X)τ+ηX.\mathcal N_\eta(X)=(1-\eta)\operatorname{tr}(X)\tau+\eta X.Nη​(X)=(1−η)tr(X)τ+ηX.

For any such map N\mathcal NN, write J(N)=(id⁡⊗N)(∣ΦD⟩⟨ΦD∣)J(\mathcal N)=(\operatorname{id}\otimes\mathcal N)(|\Phi_D\rangle\langle\Phi_D|)J(N)=(id⊗N)(∣ΦD​⟩⟨ΦD​∣), where ΦD=D−1/2∑i=0D−1∣i,i⟩\Phi_D=D^{-1/2}\sum_{i=0}^{D-1}|i,i\rangleΦD​=D−1/2∑i=0D−1​∣i,i⟩; here amplification by the identity means applying N\mathcal NN to each block indexed by the first register. Set σ=J(N0)\sigma=J(\mathcal N_0)σ=J(N0​), ρ=J(Nη)\rho=J(\mathcal N_\eta)ρ=J(Nη​), and Ω=σ ρ σ\Omega=\sqrt{\sigma}\,\rho\,\sqrt{\sigma}Ω=σ​ρσ​, with matrix square roots defined by continuous functional calculus. Define the D×DD\times DD×D matrix BBB, indexed by 0,…,d0,\ldots,d0,…,d, by

Bij=1D2{(1−η)(1−db)2+η(1−db),i=j=0,η(1−db)b,exactly one of i,j is 0,(1−η)b2+ηb,i=j>0,ηb,i,j>0, i≠j.B_{ij}=\frac1{D^2} \begin{cases} (1-\eta)(1-db)^2+\eta(1-db),&i=j=0,\\ \eta\sqrt{(1-db)b},&\text{exactly one of }i,j\text{ is }0,\\ (1-\eta)b^2+\eta b,&i=j>0,\\ \eta b,&i,j>0,\ i\ne j. \end{cases}Bij​=D21​⎩⎨⎧​(1−η)(1−db)2+η(1−db),η(1−db)b​,(1−η)b2+ηb,ηb,​i=j=0,exactly one of i,j is 0,i=j>0,i,j>0, i=j.​

Then both N0\mathcal N_0N0​ and Nη\mathcal N_\etaNη​ admit finite Kraus representations X↦∑jKjXKj†X\mapsto\sum_jK_jXK_j^\daggerX↦∑j​Kj​XKj†​ with ∑jKj†Kj=I\sum_jK_j^\dagger K_j=I∑j​Kj†​Kj​=I; the list of ascending eigenvalues of Ω\OmegaΩ, including multiplicities, is a permutation of the concatenation of d2d^2d2 copies of (1−η)b2/D2(1-\eta)b^2/D^2(1−η)b2/D2, ddd copies of (1−η)(1−db)2/D2(1-\eta)(1-db)^2/D^2(1−η)(1−db)2/D2, and the ascending eigenvalue list of BBB; and

Re⁡tr⁡σ ρ σ=∑i=0D2−1λi(Ω).\operatorname{Re}\operatorname{tr}\sqrt{\sqrt{\sigma}\,\rho\,\sqrt{\sigma}} =\sum_{i=0}^{D^2-1}\sqrt{\lambda_i(\Omega)}.Retrσ​ρσ​​=i=0∑D2−1​λi​(Ω)​.

The ascending-eigenvalue function used here returns the Hermitian eigenvalues in ascending order, and returns the all-zero list for a non-Hermitian matrix. The hypotheses include d=1d=1d=1, b=0b=0b=0, db=1db=1db=1, and both endpoints η=0,1\eta=0,1η=0,1, so zero eigenvalues and repeated eigenvalues are included.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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