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Endpoint-degree bound and the square-lattice maximum

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QAlgorithms.Papers.Independent.Intakethird100.P45.degreeBound

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

prove2quantum

In the one-slot heralded-loss model, retain at most one perfect EPR pair on each physical edge and use each memory in at most one pairwise BSM. Let a≠ba\ne ba=b be terminals of a finite square-grid network, let d(a)d(a)d(a) and d(b)d(b)d(b) be their physical degrees, and let JJJ be the actual integer number of delivered ebits for any chosen admissible schedule and any realization of its BSM flags. Then

J≤min⁡{d(a),d(b)}≤4.J\le\min\{d(a),d(b)\}\le4.J≤min{d(a),d(b)}≤4.

For every two distinct sites of the full square lattice, four ebits are attainable in a single slot when the selected links and swaps all succeed: a sufficiently large finite portion contains a schedule of four edge-disjoint routes joining those sites. Terminals do not perform swaps for their own flow.

This identifies the maximum possible count on the unbounded grid, while retaining only an upper bound on arbitrary finite networks. It does not guarantee four successes at arbitrary loss parameters.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P45
Formal statement
namespace QAlgorithms.Papers.Independent.Intakethird100.P45

open scoped BigOperators

noncomputable section

/-- PDF pp.4–5: delivered count is at most either endpoint degree, hence four.
Four is attainable between any distinct lattice sites in a sufficiently large
finite portion of the lattice, when all selected operations succeed. This is
a possible count, not a four-ebit guarantee for arbitrary loss parameters.
Source correction (trap 30). Printed on p.4: the general-graph maximum is
min {d(a), d(b)}. Changed: an upper bound for finite grids, with four attained
for every distinct pair on the full lattice. Why: finite-grid bottlenecks can
prevent degree-bound attainment; p.5 uses only the upper bound, while Appendix A
pp.11–12 explicitly states full-lattice attainment. -/
theorem degreeBound :
    (∀ (N : ℕ) (G : GridNetwork N) (a b : Fin N), a ≠ b →
      ∀ (H : Finset (Edge N)), H ⊆ physicalEdges G →
      ∀ (F : Finset (PortTrailEncoding N)), FeasibleFamily H a b F →
      ∀ flags : InternalFlags N,
        deliveredCount F flags ≤ min (endpointDegree G a) (endpointDegree G b) ∧
        min (endpointDegree G a) (endpointDegree G b) ≤ 4) ∧
    (∀ A B : ℤ × ℤ, A ≠ B →
      ∃ (N : ℕ) (G : GridNetwork N) (a b : Fin N) (F : Finset (PortTrailEncoding N)),
        G.position a = A ∧ G.position b = B ∧
        FeasibleFamily (physicalEdges G) a b F ∧
        deliveredCount F (fun _ => true) = 4) := by sorry

end

end QAlgorithms.Papers.Independent.Intakethird100.P45
Source
Routing entanglement in the quantum internet, arXiv:1708.07142v2, PDF p. 4, §II.A: endpoint degree bounds the per-slot delivered count
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What the Lean code literally says, in plain math · gpt-6.1-sol

The theorem asserts the conjunction of two statements. For its notation, a grid network on NNN vertices is an injective assignment of positions xi∈Z2x_i\in\mathbb Z^2xi​∈Z2 to V={0,…,N−1}V=\{0,\ldots,N-1\}V={0,…,N−1}; its physical edge set EGE_GEG​ consists of pairs (i,j)(i,j)(i,j) with i<ji<ji<j and Manhattan distance 111 between their positions, and dG(c)d_G(c)dG​(c) is the number of these pairs incident to ccc. An encoded route rrr has length 1≤m(r)≤N21\le m(r)\le N^21≤m(r)≤N2 and vertices (v0,…,vm(r))(v_0,\ldots,v_{m(r)})(v0​,…,vm(r)​); it is admissible in HHH from aaa to bbb when its endpoints are a,ba,ba,b, its canonical consecutive edge pairs are distinct members of HHH, and no intermediate vertex equals either endpoint. Other vertex repetitions are allowed. A feasible family is a finite set of admissible encoded routes with pairwise disjoint edge sets. First, for every natural number NNN, every such network GGG, every pair of distinct vertices a,ba,ba,b, every finite set H⊆EGH\subseteq E_GH⊆EG​, every feasible family FFF in HHH from aaa to bbb, and every Boolean assignment ϕ\phiϕ to every pair consisting of any encoded route on these NNN vertices and one of its intermediate positions, let D(F,ϕ)D(F,\phi)D(F,ϕ) count the routes in FFF for which every intermediate-position flag is true. Then

D(F,ϕ)≤min⁡(dG(a),dG(b))andmin⁡(dG(a),dG(b))≤4.D(F,\phi)\le\min(d_G(a),d_G(b)) \quad\text{and}\quad \min(d_G(a),d_G(b))\le4.D(F,ϕ)≤min(dG​(a),dG​(b))andmin(dG​(a),dG​(b))≤4.

The flags have no further assumptions; a length-one route has no intermediate flags and therefore satisfies the all-true condition automatically, and an empty family has delivered count 000. The universal statement has no endpoint instances when N=0N=0N=0, and its distinct-endpoint hypothesis excludes a=ba=ba=b. Second, for every two distinct points A,B∈Z2A,B\in\mathbb Z^2A,B∈Z2, there exist a natural number NNN, such a network GGG, vertices a,ba,ba,b, and a finite feasible family FFF using EGE_GEG​, with xa=Ax_a=Axa​=A and xb=Bx_b=Bxb​=B, whose delivered count under the assignment that makes every flag true is exactly 444; equivalently, that family contains exactly four encoded routes.

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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