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Corollary 4: nearby channels admit nearby complementary channels

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QAlgorithms.Papers.Independent.Intakethird100.P50.complementaryChannels_close

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

prove2quantum

Let N1,N2:B(A)→B(B)N_1,N_2:\mathcal B(A)\to\mathcal B(B)N1​,N2​:B(A)→B(B) be finite-dimensional quantum channels with ∥N1−N2∥⋄≤ε\|N_1-N_2\|_\diamond\le\varepsilon∥N1​−N2​∥⋄​≤ε and 0≤ε≤20\le\varepsilon\le20≤ε≤2. For every isometric dilation V1:A→B⊗E1V_1:A\to B\otimes E_1V1​:A→B⊗E1​ of N1N_1N1​, there exist a nonzero finite-dimensional common environment FFF, an isometry J:E1→FJ:E_1\to FJ:E1​→F and an isometric dilation V2:A→B⊗FV_2:A\to B\otimes FV2​:A→B⊗F of N2N_2N2​ such that

∥JN1c( ⋅ )J†−N2c∥⋄≤2ε.\|J N_1^c(\,\cdot\,)J^\dagger-N_2^c\|_\diamond\le2\sqrt\varepsilon.∥JN1c​(⋅)J†−N2c​∥⋄​≤2ε​.

Both complements use the displayed receiver dilations. Enlarging the first environment realizes the paper's equivalence-under-isometry convention without assuming equal minimal Choi ranks.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P50
Formal statement
noncomputable section

open scoped BigOperators Matrix ComplexConjugate ComplexOrder

open Filter

namespace QAlgorithms.Papers.Independent.Intakethird100.P50

variable {A B E F : Type}

variable [Fintype A] [DecidableEq A] [Fintype B] [DecidableEq B]

variable [Fintype E] [DecidableEq E] [Fintype F] [DecidableEq F]

open QAlgorithms.Papers.Independent.Information100.P67
  (IsIsometry receiverChannel complementaryChannel maximumCoherentInformation
    dilationPower idealJoint)

open QAlgorithms.Papers.Independent.Information100.P80 (log2)

open QAlgorithms.Papers.Independent.Information100.P69 (diamond choi)

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

open QAlgorithms.Papers.Independent.Frontier18.P17 (clock)

/-- Corollary 4, PDF p.6, with the isometric-equivalence convention of PDF p.4.
FOR ANY first complement, embed its environment into a common larger finite space,
then choose the second complement there. -/
theorem complementaryChannels_close [Nonempty A] [Nonempty B] [Nonempty E]
    (V1 : Matrix (B × E) A ℂ) (hV1 : IsIsometry V1)
    (N2 : Superop A B) (hN2 : IsChannel N2)
    (eps : ℝ) (heps : eps ∈ Set.Icc 0 2)
    (hclose : diamond (channelDifference (receiverChannel V1) N2) ≤ eps) :
    ∃ k : ℕ, 0 < k ∧ ∃ J : Matrix (Fin k) E ℂ, IsIsometry J ∧
      ∃ V2 : Matrix (B × Fin k) A ℂ, IsIsometry V2 ∧ receiverChannel V2 = N2 ∧
        diamond (channelDifference (conjSuperop J ∘ complementaryChannel V1) (complementaryChannel V2)) ≤
          2 * Real.sqrt eps := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P50

end
Source
Quantum and private capacities of low-noise channels, arXiv:1705.04335v3, PDF p. 6, Corollary 4: nearby channels admit nearby complementary channels
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What the Lean code literally says, in plain math · gpt-6.1-sol

Let A,B,EA,B,EA,B,E be finite nonempty types equipped with decidable equality, let V1:B×E←AV_1:B\times E\leftarrow AV1​:B×E←A be a complex matrix with V1†V1=IAV_1^\dagger V_1=I_AV1†​V1​=IA​, and let N2N_2N2​ be a channel from matrices on AAA to matrices on BBB, meaning that N2(ρ)=∑jKjρKj†N_2(\rho)=\sum_jK_j\rho K_j^\daggerN2​(ρ)=∑j​Kj​ρKj†​ for a finite family satisfying ∑jKj†Kj=IA\sum_jK_j^\dagger K_j=I_A∑j​Kj†​Kj​=IA​. For any real 0≤ε≤20\le\varepsilon\le20≤ε≤2, if

∥ρ↦Tr⁡E(V1ρV1†)−N2(ρ)∥⋄≤ε,\bigl\|\rho\mapsto\operatorname{Tr}_E(V_1\rho V_1^\dagger)-N_2(\rho)\bigr\|_\diamond\le\varepsilon,​ρ↦TrE​(V1​ρV1†​)−N2​(ρ)​⋄​≤ε,

then there exist a positive natural number kkk, a complex matrix J:{0,…,k−1}←EJ:\{0,\ldots,k-1\}\leftarrow EJ:{0,…,k−1}←E with J†J=IEJ^\dagger J=I_EJ†J=IE​, and a complex matrix V2:B×{0,…,k−1}←AV_2:B\times\{0,\ldots,k-1\}\leftarrow AV2​:B×{0,…,k−1}←A with V2†V2=IAV_2^\dagger V_2=I_AV2†​V2​=IA​, such that Tr⁡{0,…,k−1}(V2ρV2†)=N2(ρ)\operatorname{Tr}_{\{0,\ldots,k-1\}}(V_2\rho V_2^\dagger)=N_2(\rho)Tr{0,…,k−1}​(V2​ρV2†​)=N2​(ρ) for every complex matrix ρ\rhoρ, and

∥ρ↦J Tr⁡B(V1ρV1†)J†−Tr⁡B(V2ρV2†)∥⋄≤2ε.\bigl\|\rho\mapsto J\,\operatorname{Tr}_B(V_1\rho V_1^\dagger)J^\dagger -\operatorname{Tr}_B(V_2\rho V_2^\dagger)\bigr\|_\diamond \le2\sqrt{\varepsilon}.​ρ↦JTrB​(V1​ρV1†​)J†−TrB​(V2​ρV2†​)​⋄​≤2ε​.

For either map, the diamond quantity is the real supremum of the output trace norm after amplification by the identity on an AAA-indexed reference, over all complex matrices on A×AA\times AA×A of trace norm at most one; amplification acts separately on each reference matrix block, and ∥X∥1=Re⁡Tr⁡X†X\|X\|_1=\operatorname{Re}\operatorname{Tr}\sqrt{X^\dagger X}∥X∥1​=ReTrX†X​. Both endpoints ε=0,2\varepsilon=0,2ε=0,2 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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