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Universal signal-energy lower bound on discrimination error

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QAlgorithms.Papers.Independent.Intakethird100.P54.error_lower_bound

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

prove2quantum

Let M≥1M\ge1M≥1 be the finite number of signal modes and J≥0J\ge0J≥0 the finite number of retained idler modes, on the full optical Fock spaces. The two channels have equal priors, independent vacuum environments, reflectances 0≤R0≤R1≤10\le R_0\le R_1\le10≤R0​≤R1​≤1, field magnitudes rb=Rbr_b=\sqrt{R_b}rb​=Rb​​ and tb=1−Rbt_b=\sqrt{1-R_b}tb​=1−Rb​​, and distinct complex reflection coefficients rbeiθbr_b e^{i\theta_b}rb​eiθb​. Every signal mode sees the same channel; idlers are retained losslessly and environment outputs are inaccessible. Write F\mathcal FF for squared Uhlmann fidelity, PeP_ePe​ for minimum average error over all joint binary receivers, Qs=Tr⁡(ρ0sρ11−s)Q_s=\operatorname{Tr}(\rho_0^s\rho_1^{1-s})Qs​=Tr(ρ0s​ρ11−s​), and Q=min⁡0≤s≤1QsQ=\min_{0\le s\le1}Q_sQ=min0≤s≤1​Qs​, with zero powers interpreted as support projections. Here the common phase is removed, so θ0=θ1=0\theta_0=\theta_1=0θ0​=θ1​=0 and R0<R1R_0<R_1R0​<R1​. Put μ=r0r1+t0t1\mu=r_0r_1+t_0t_1μ=r0​r1​+t0​t1​.

For every normalized pure joint probe with finite mean total signal photon number Ns≥0N_s\ge0Ns​≥0,

Pe(ψ)≥1−1−μ2Ns2.P_e(\psi)\ge\frac{1-\sqrt{1-\mu^{2N_s}}}{2}.Pe​(ψ)≥21−1−μ2Ns​​​.

This is a universal lower bound, independent of the numbers of signal and idler modes. At Ns=0N_s=0Ns​=0 both returned states coincide, giving Pe=1/2P_e=1/2Pe​=1/2.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P54
Formal statement
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

/-- Universal operational error LOWER bound, PDF pp.6–7, (53). N is the finite
mean total SIGNAL photon number, and can be zero or noninteger. -/
theorem error_lower_bound {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) (N : ℝ) (hN : HasSignalEnergy psi N) :
    lowerError (Real.rpow (splitterOverlap c) (2*N)) ≤ outputError c psi := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P54

end
Source
Discriminating quantum-optical beam-splitter channels with number-diagonal signal states: Applications to quantum reading and target detection, arXiv:1105.4063v3, PDF p. 6, error-lower-bound
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What the Lean code literally says, in plain math · gpt-6.1-sol

Let M,JM,JM,J be natural numbers with M>0M>0M>0, and let ccc specify two splitters, indexed by b=0,1b=0,1b=0,1, with reflectances Rb∈[0,1]R_b\in[0,1]Rb​∈[0,1] and phases ϕb∈R\phi_b\in\mathbb Rϕb​∈R. Assume R0≤R1R_0\le R_1R0​≤R1​, R0eiϕ0≠R1eiϕ1\sqrt{R_0}e^{i\phi_0}\ne\sqrt{R_1}e^{i\phi_1}R0​​eiϕ0​=R1​​eiϕ1​, and ϕ0=ϕ1=0\phi_0=\phi_1=0ϕ0​=ϕ1​=0. Write rb=Rbr_b=\sqrt{R_b}rb​=Rb​​, tb=1−Rbt_b=\sqrt{1-R_b}tb​=1−Rb​​, and o=r0r1+t0t1o=r_0r_1+t_0t_1o=r0​r1​+t0​t1​. For an occupation vector q∈NMq\in\mathbb N^Mq∈NM, put ∣q∣=∑mqm|q|=\sum_m q_m∣q∣=∑m​qm​. Let ψ∈ℓ2(NJ×NM;C)\psi\in\ell^2(\mathbb N^J\times\mathbb N^M;\mathbb C)ψ∈ℓ2(NJ×NM;C) have norm 111, and let N∈RN\in\mathbb RN∈R satisfy N≥0N\ge0N≥0, summability of n↦nPnn\mapsto nP_nn↦nPn​, and ∑n=0∞nPn=N\sum_{n=0}^\infty nP_n=N∑n=0∞​nPn​=N, where pq=∑i∈NJ∣ψ(i,q)∣2p_q=\sum_{i\in\mathbb N^J}|\psi(i,q)|^2pq​=∑i∈NJ​∣ψ(i,q)∣2 and Pn=∑q: ∣q∣=npqP_n=\sum_{q:\,|q|=n}p_qPn​=∑q:∣q∣=n​pq​. Define

ab(q,k)={∏m=1M(qmkm) rb qm−kmtb km,km≤qm for every m,0,otherwise,zb,k(i,q)=ψ(i,q+k)ab(q+k,k),Kb(x,y)=∑k∈NMzb,k(x)zb,k(y)‾.a_b(q,k)= \begin{cases} \displaystyle\prod_{m=1}^M \sqrt{\binom{q_m}{k_m}}\,r_b^{\,q_m-k_m}t_b^{\,k_m}, &k_m\le q_m\text{ for every }m,\\ 0,&\text{otherwise}, \end{cases} \qquad z_{b,k}(i,q)=\psi(i,q+k)a_b(q+k,k), \qquad K_b(x,y)=\sum_{k\in\mathbb N^M}z_{b,k}(x)\overline{z_{b,k}(y)}.ab​(q,k)=⎩⎨⎧​m=1∏M​(km​qm​​)​rbqm​−km​​tbkm​​,0,​km​≤qm​ for every m,otherwise,​zb,k​(i,q)=ψ(i,q+k)ab​(q+k,k),Kb​(x,y)=k∈NM∑​zb,k​(x)zb,k​(y)​.

Here and below an infinite sum is the total infinite sum, equal to 000 if its family is not summable. For a kernel KKK on a label set XXX, a resolution consists of nonnegative summable weights pap_apa​ of total mass 111 and vectors ua∈ℓ2(X;C)u_a\in\ell^2(X;\mathbb C)ua​∈ℓ2(X;C), with ∥ua∥=1\|u_a\|=1∥ua​∥=1 whenever pa>0p_a>0pa​>0, with ua⊥ua′u_a\perp u_{a'}ua​⊥ua′​ whenever a≠a′a\ne a'a=a′ and both weights are positive, and with K(x,y)=∑apaua(x)ua(y)‾K(x,y)=\sum_a p_a u_a(x)\overline{u_a(y)}K(x,y)=∑a​pa​ua​(x)ua​(y)​; zero-weight vectors have no normalization or orthogonality requirement. An effect is a bounded complex-linear operator EEE satisfying ⟨u,Ev⟩=⟨v,Eu⟩‾\langle u,Ev\rangle=\overline{\langle v,Eu\rangle}⟨u,Ev⟩=⟨v,Eu⟩​ and 0≤Re⁡⟨v,Ev⟩≤∥v∥20\le\operatorname{Re}\langle v,Ev\rangle\le\|v\|^20≤Re⟨v,Ev⟩≤∥v∥2 for all u,vu,vu,v. Define e(K0,K1)e(K_0,K_1)e(K0​,K1​) as the real infimum, over resolutions (pa,ua)(p_a,u_a)(pa​,ua​) and (qa,va)(q_a,v_a)(qa​,va​) of the respective kernels and all such effects, of

12∑apa(1−Re⁡⟨ua,Eua⟩)+12∑aqaRe⁡⟨va,Eva⟩.\frac12\sum_a p_a\bigl(1-\operatorname{Re}\langle u_a,Eu_a\rangle\bigr) +\frac12\sum_a q_a\operatorname{Re}\langle v_a,Ev_a\rangle.21​a∑​pa​(1−Re⟨ua​,Eua​⟩)+21​a∑​qa​Re⟨va​,Eva​⟩.

This real infimum is 000 if its defining set is empty. The assertion is

1− 1−o 2N 2≤e(K0,K1),\frac{1-\sqrt{\,1-o^{\,2N}\,}}2\le e(K_0,K_1),21−1−o2N​​≤e(K0​,K1​),

where o2No^{2N}o2N is the real power. The hypotheses allow J=0J=0J=0, N=0N=0N=0, and the endpoint pair R0=0,R1=1R_0=0,R_1=1R0​=0,R1​=1; in particular, a zero base with zero exponent has value 111.

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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