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Supplement V.B, Eqs.(187)–(190): operational key-capacity bound

Open
QAlgorithms.Papers.Independent.Intakethird100.P49.private_capacity_choi_bound

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

prove2quantum

Let E:d→d\mathcal E:d\to dE:d→d be CPTP, d≥2d\ge2d≥2. Let K(E)K(\mathcal E)K(E) be the operational supremum of two-way LOCC private-generation rates from separable initialization, arbitrary finite shields and vanishing full trace-norm error. Let ERE_RER​ denote finite state REE in bits. Define E~R(E)\widetilde E_R(\mathcal E)ER​(E) as the supremum, over all positive finite memories and normalized ρa′ab′\rho_{a'ab'}ρa′ab′​, of the finite real difference ER(a′:bb′)E(ρ)−ER(a′a:b′)ρE_R(a':bb')_{\mathcal E(\rho)}-E_R(a'a:b')_\rhoER​(a′:bb′)E(ρ)​−ER​(a′a:b′)ρ​. Put f(t)=(1+t)log⁡2(1+t)−tlog⁡2tf(t)=(1+t)\log_2(1+t)-t\log_2tf(t)=(1+t)log2​(1+t)−tlog2​t, with 0log⁡0=00\log0=00log0=0. For every fixed integer M≥2M\ge2M≥2, PBT gives

E~R(EM)≤ER(ρE⊗M)≤MER(ρE),\widetilde E_R(\mathcal E^M)\le E_R(\rho_{\mathcal E}^{\otimes M})\le M E_R(\rho_{\mathcal E}),ER​(EM)≤ER​(ρE⊗M​)≤MER​(ρE​),

and both E~R(E)\widetilde E_R(\mathcal E)ER​(E) and K(E)K(\mathcal E)K(E) are at most AM=ER(ρE⊗M)+δd,Mlog⁡2d+f(δd,M/2)A_M=E_R(\rho_{\mathcal E}^{\otimes M})+\delta_{d,M}\log_2d+f(\delta_{d,M}/2)AM​=ER​(ρE⊗M​)+δd,M​log2​d+f(δd,M​/2). Furthermore

K(E)≤AM≤MER(ρE)+2d(d−1)Mlog⁡2d+f ⁣(d(d−1)M)=KMUB.K(\mathcal E)\le A_M\le M E_R(\rho_{\mathcal E})+\frac{2d(d-1)}M\log_2d+f\!\left(\frac{d(d-1)}M\right)=K_M^{\rm UB}.K(E)≤AM​≤MER​(ρE​)+M2d(d−1)​log2​d+f(Md(d−1)​)=KMUB​.

Consequently K(E)≤inf⁡M∈N, M≥2KMUBK(\mathcal E)\le\inf_{M\in\mathbb N,\,M\ge2}K_M^{\rm UB}K(E)≤infM∈N,M≥2​KMUB​. Integer MMM is fixed before the coding limit. The accepted half-norm operational convention has the same vanishing-error capacity by tolerance rescaling. The initial cut in printed Eq. (184) is corrected from bbb to b′b'b′, pending independent moderation.

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 V.B, PDF pp.19--20, (184),(187)--(190): integer-port
operational key-capacity bound and its amortized-REE ingredients. K is the
accepted actual two-way code-rate supremum; its half-norm error convention has
the same vanishing-error limit as the source's full-norm convention. The input
cut in (184) is corrected to (a',a):b'. Fixed M precedes all coding limits.
Independent moderation of the cut correction is required. -/
theorem private_capacity_choi_bound (d : ℕ) [NeZero d] (hd : 2 ≤ d)
    (E : Superop (Fin d) (Fin d)) (hE : IsChannel E) :
    (∀ M : ℕ, 2 ≤ M →
      amortizedREE (simulated E M) ≤ (realREE (choiPorts E M) : EReal) ∧
      realREE (choiPorts E M) ≤ M * realREE (normalizedChannelChoi E) ∧
      amortizedREE E ≤ ((realREE (choiPorts E M) + pbtError d M * Real.logb 2 d +
        capacityContinuity (pbtError d M/2) : ℝ) : EReal) ∧
      twoWayGenerationCapacity E true ≤ ((realREE (choiPorts E M) +
        pbtError d M * Real.logb 2 d + capacityContinuity (pbtError d M/2) : ℝ) : EReal) ∧
      ((realREE (choiPorts E M) + pbtError d M * Real.logb 2 d +
        capacityContinuity (pbtError d M/2) : ℝ) : EReal) ≤ (privateCapacityBound d M E : EReal)) ∧
    twoWayGenerationCapacity E true ≤
      ⨅ M : {m : ℕ // 2 ≤ m}, (privateCapacityBound d M.val E : EReal) := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P49

end
Source
Fundamental limits to quantum channel discrimination, arXiv:1803.02834v4, PDF p. 20, Supplement V.B, Eqs.(187)–(190): operational key-capacity bound
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What the Lean code literally says, in plain math · gpt-6.1-sol

For every natural number d≠0d\ne0d=0 with d≥2d\ge2d≥2, and every matrix map E\mathcal EE on Cd\mathbb C^dCd admitting a finite Kraus representation E(X)=∑jKjXKj†\mathcal E(X)=\sum_jK_jXK_j^\daggerE(X)=∑j​Kj​XKj†​ with ∑jKj†Kj=I\sum_jK_j^\dagger K_j=I∑j​Kj†​Kj​=I, use the following definitions. A density matrix is positive semidefinite with trace 111; a separable density matrix is a finite convex combination of products of density matrices. For matrices on a finite bipartite space, let

R(ρ)=(inf⁡σ separable densityD2+(ρ∥σ))real,\mathcal R(\rho)= \left(\inf_{\sigma\text{ separable density}}D_2^+(\rho\|\sigma)\right)_{\mathrm{real}},R(ρ)=(σ separable densityinf​D2+​(ρ∥σ))real​,

where D2+=+∞D_2^+=+\inftyD2+​=+∞ unless both arguments are density matrices and ker⁡σ⊆ker⁡ρ\ker\sigma\subseteq\ker\rhokerσ⊆kerρ, and otherwise

D2+(ρ∥σ)=max⁡ ⁣{0,Re⁡tr⁡(f(ρ)−ρlog⁡σ)}ln⁡2,f(x)=xln⁡x.D_2^+(\rho\|\sigma) = \frac{\max\!\left\{0,\operatorname{Re}\operatorname{tr} \bigl(f(\rho)-\rho\log\sigma\bigr)\right\}}{\ln2}, \qquad f(x)=x\ln x.D2+​(ρ∥σ)=ln2max{0,Retr(f(ρ)−ρlogσ)}​,f(x)=xlnx.

These matrix functions use functional calculus and the scalar convention ln⁡0=0\ln0=0ln0=0; the infimum is in [0,+∞][0,+\infty][0,+∞], and the subscript “real” sends finite values to their real values and sends +∞+\infty+∞ to 000. For any map F\mathcal FF on ddd-dimensional matrices, define

A(F)=sup⁡a,b∈Nρ density on (Ca+1⊗Cd)⊗Cb+1[R(SF(ρ))−R(ρ)],\mathfrak A(\mathcal F) = \sup_{\substack{a,b\in\mathbb N\\ \rho\text{ density on }(\mathbb C^{a+1}\otimes\mathbb C^d)\otimes\mathbb C^{b+1}}} \bigl[\mathcal R(\mathcal S_{\mathcal F}(\rho))-\mathcal R(\rho)\bigr],A(F)=a,b∈Nρ density on (Ca+1⊗Cd)⊗Cb+1​sup​[R(SF​(ρ))−R(ρ)],

with real differences embedded in the extended real line, where

SF(ρ)(x,(y,z)),(x′,(y′,z′))=F ⁣((i,j)↦ρ((x,i),z),((x′,j),z′))y,y′.\mathcal S_{\mathcal F}(\rho)_{(x,(y,z)),(x',(y',z'))} = \mathcal F\!\left((i,j)\mapsto \rho_{((x,i),z),((x',j),z')}\right)_{y,y'}.SF​(ρ)(x,(y,z)),(x′,(y′,z′))​=F((i,j)↦ρ((x,i),z),((x′,j),z′)​)y,y′​.

Thus the output of the distinguished input register belongs to the second party. Write J(F)=(id⁡d⊗F)(∣Φd⟩⟨Φd∣)J(\mathcal F)=(\operatorname{id}_d\otimes\mathcal F)(|\Phi_d\rangle\langle\Phi_d|)J(F)=(idd​⊗F)(∣Φd​⟩⟨Φd​∣), where Φd=d−1/2∑i∣i,i⟩\Phi_d=d^{-1/2}\sum_i|i,i\rangleΦd​=d−1/2∑i​∣i,i⟩, and let JM(E)J_M(\mathcal E)JM​(E) be the grouped MMM-fold product, explicitly

JM(E)(a,b),(c,t)=∏i=0M−1J(E)(ai,bi),(ci,ti).J_M(\mathcal E)_{(a,b),(c,t)} =\prod_{i=0}^{M-1}J(\mathcal E)_{(a_i,b_i),(c_i,t_i)}.JM​(E)(a,b),(c,t)​=i=0∏M−1​J(E)(ai​,bi​),(ci​,ti​)​.

Here identity amplification applies a map to each reference-indexed matrix block. For each M≥2M\ge2M≥2, define a port-based map Td,M\mathcal T_{d,M}Td,M​ as follows. Put A={0,…,d−1}M\mathcal A=\{0,\ldots,d-1\}^MA={0,…,d−1}M, define

Fi((x,a),(y,c))=1d1{x=ai, y=ci, aj=cj (j≠i)},S=∑iFi,R=f(S),f(t)=(t)−1,Hi=RFiR+I−RSRM,F_i((x,a),(y,c)) =\frac1d\mathbf1_{\{x=a_i,\ y=c_i,\ a_j=c_j\ (j\ne i)\}}, \quad S=\sum_iF_i,\quad R=f(S),\quad f(t)=(\sqrt t)^{-1}, \quad H_i=RF_iR+\frac{I-RSR}{M},Fi​((x,a),(y,c))=d1​1{x=ai​, y=ci​, aj​=cj​ (j=i)}​,S=i∑​Fi​,R=f(S),f(t)=(t​)−1,Hi​=RFi​R+MI−RSR​,

using functional calculus and scalar inverse 0−1=00^{-1}=00−1=0, and set

βM((a,r),(c,t))=∏j1d1{aj=rj, cj=tj},Td,M(X)v,w=∑i∑p,q∈{0,…,d−1}×A∑r,t∈A1{ri=v, ti=w, rj=tj (j≠i)}(Hi)q,pXp0,q0βM((p1,r),(q1,t)).\beta_M((a,r),(c,t)) =\prod_j\frac1d\mathbf1_{\{a_j=r_j,\ c_j=t_j\}}, \qquad \mathcal T_{d,M}(X)_{v,w} =\sum_i\sum_{p,q\in\{0,\ldots,d-1\}\times\mathcal A}\sum_{r,t\in\mathcal A} \mathbf1_{\{r_i=v,\ t_i=w,\ r_j=t_j\ (j\ne i)\}} (H_i)_{q,p}X_{p_0,q_0}\beta_M((p_1,r),(q_1,t)).βM​((a,r),(c,t))=j∏​d1​1{aj​=rj​, cj​=tj​}​,Td,M​(X)v,w​=i∑​p,q∈{0,…,d−1}×A∑​r,t∈A∑​1{ri​=v, ti​=w, rj​=tj​ (j=i)}​(Hi​)q,p​Xp0​,q0​​βM​((p1​,r),(q1​,t)).

Let

δd,M=sup⁡∥X∥1≤1∥(id⁡d⊗(id⁡−Td,M))(X)∥1,∥X∥1=Re⁡tr⁡X†X,\delta_{d,M} =\sup_{\|X\|_1\le1} \|(\operatorname{id}_d\otimes(\operatorname{id}-\mathcal T_{d,M}))(X)\|_1, \qquad \|X\|_1=\operatorname{Re}\operatorname{tr}\sqrt{X^\dagger X},δd,M​=∥X∥1​≤1sup​∥(idd​⊗(id−Td,M​))(X)∥1​,∥X∥1​=RetrX†X​,

where the supremum ranges over all complex matrices XXX on Cd⊗Cd\mathbb C^d\otimes\mathbb C^dCd⊗Cd. Define K(E)K(\mathcal E)K(E) to be the extended-real supremum of all real r≥0r\ge0r≥0 for which there is a sequence of codes with positive use counts un→∞u_n\to\inftyun​→∞, natural key-bit counts knk_nkn​ satisfying kn/un→rk_n/u_n\to rkn​/un​→r, and errors tending to zero. Each code starts from a separable density matrix on (Can+1⊗Cd)⊗Cbn+1(\mathbb C^{a_n+1}\otimes\mathbb C^d)\otimes\mathbb C^{b_n+1}(Can​+1⊗Cd)⊗Cbn​+1, uses E\mathcal EE exactly unu_nun​ times by sending the distinguished input register from Alice to Bob, and allows finite local protocols between uses and at termination. Those protocols are generated by identities and complete local Kraus instruments with recursively chosen branch protocols, allowing changes of dimension. Its error is half the trace norm between its output and a density-matrix private target on (C2kn⊗Csn+1)⊗2(\mathbb C^{2^{k_n}}\otimes\mathbb C^{s_n+1})^{\otimes2}(C2kn​⊗Csn​+1)⊗2, whose entries are zero unless the two parties’ key indices agree on both row and column, and otherwise equal 2−kn(UiωUj†)(x,y),(x′,y′)2^{-k_n}(U_i\omega U_j^\dagger)_{(x,y),(x',y')}2−kn​(Ui​ωUj†​)(x,y),(x′,y′)​ for a shield density matrix ω\omegaω and shield unitaries UiU_iUi​. Finally put

c(t)=(1+t)log⁡2(1+t)−tlog⁡2t,Bd,M(E)=MR(J(E))+2d(d−1)Mlog⁡2d+c ⁣(d(d−1)M),c(t)=(1+t)\log_2(1+t)-t\log_2t,\qquad B_{d,M}(\mathcal E) =M\mathcal R(J(\mathcal E)) +\frac{2d(d-1)}M\log_2d +c\!\left(\frac{d(d-1)}M\right),c(t)=(1+t)log2​(1+t)−tlog2​t,Bd,M​(E)=MR(J(E))+M2d(d−1)​log2​d+c(Md(d−1)​),

with scalar logarithms totalized by log⁡20=0\log_2 0=0log2​0=0. Then, for every natural M≥2M\ge2M≥2, all five assertions hold:

A(E∘Td,M)≤R(JM(E)),R(JM(E))≤MR(J(E)),A(E)≤R(JM(E))+δd,Mlog⁡2d+c(δd,M/2),K(E)≤R(JM(E))+δd,Mlog⁡2d+c(δd,M/2)≤Bd,M(E).\begin{gathered} \mathfrak A(\mathcal E\circ\mathcal T_{d,M})\le\mathcal R(J_M(\mathcal E)),\\ \mathcal R(J_M(\mathcal E))\le M\mathcal R(J(\mathcal E)),\\ \mathfrak A(\mathcal E) \le\mathcal R(J_M(\mathcal E)) +\delta_{d,M}\log_2d+c(\delta_{d,M}/2),\\ K(\mathcal E) \le\mathcal R(J_M(\mathcal E)) +\delta_{d,M}\log_2d+c(\delta_{d,M}/2) \le B_{d,M}(\mathcal E). \end{gathered}A(E∘Td,M​)≤R(JM​(E)),R(JM​(E))≤MR(J(E)),A(E)≤R(JM​(E))+δd,M​log2​d+c(δd,M​/2),K(E)≤R(JM​(E))+δd,M​log2​d+c(δd,M​/2)≤Bd,M​(E).​

The second inequality is a real inequality; the others use the extended real line, embedding every displayed real bound there. In addition,

K(E)≤inf⁡M∈NM≥2Bd,M(E),K(\mathcal E)\le\inf_{\substack{M\in\mathbb N\\M\ge2}}B_{d,M}(\mathcal E),K(E)≤M∈NM≥2​inf​Bd,M​(E),

where this last infimum is also in the extended real line.

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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