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MIPRE.Foundations.Introspection.SubmeasurementCompletion

Completing a nearby submeasurement #

The paper's lem:replace-with-measurement, with the explicit estimate 2 δ + 4 sqrt δ for the squared state norm. The outcome alphabet contributes no factor.

Stated for a state model (Phase 4 of planning/mipco-track.md), with the positivity of the families on the represented operators, as in StateModel.qform_sum_ge_of_close: the joint algebra of a model need not be ordered.

theorem MIPRE.Introspection.submeasurement_completion_mass {𝒞 : Type u_1} [Ring 𝒞] [StarRing 𝒞] [Algebra ℂ 𝒞] (Ψ : StateModel 𝒞) {A : Type u_2} [Fintype A] (hΨ : ‖Ψ.ψ‖ = 1) (B C : A → 𝒞) (hB : ∀ (a : A), 0 ≤ Ψ.π (B a)) (hC : ∀ (a : A), 0 ≤ Ψ.π (C a)) (hCsum : ∑ a : A, C a = 1) (hBC : ∀ (a : A), Ψ.π (B a) ≤ Ψ.π (C a)) :
∑ a : A, Ψ.snorm (B a - C a) ^ 2 ≤ 1 - ∑ a : A, Ψ.qform (B a)

Completing a positive submeasurement dominated by a POVM costs at most its missing mass.

theorem MIPRE.Introspection.submeasurement_completion_dist {𝒞 : Type u_1} [Ring 𝒞] [StarRing 𝒞] [Algebra ℂ 𝒞] (Ψ : StateModel 𝒞) {A : Type u_2} [Fintype A] (hΨ : ‖Ψ.ψ‖ = 1) (P B C : A → 𝒞) (hP : IsPVMIn P) (hB : ∀ (a : A), 0 ≤ Ψ.π (B a)) (hC : ∀ (a : A), 0 ≤ Ψ.π (C a)) (hCsum : ∑ a : A, C a = 1) (hBC : ∀ (a : A), Ψ.π (B a) ≤ Ψ.π (C a)) {δ : ℝ} (hclose : ∑ a : A, Ψ.snorm (P a - B a) ^ 2 ≤ δ) :
∑ a : A, Ψ.snorm (P a - C a) ^ 2 ≤ 2 * δ + 4 * √δ

A POVM completing a nearby submeasurement stays close to the original PVM.

theorem MIPRE.Introspection.submeasurement_completion_dist_avg {𝒞 : Type u_1} [Ring 𝒞] [StarRing 𝒞] [Algebra ℂ 𝒞] (Ψ : StateModel 𝒞) {A : Type u_2} [Fintype A] {X : Type u_3} [Fintype X] (D : X → ℝ) (hD0 : ∀ (x : X), 0 ≤ D x) (hD1 : ∑ x : X, D x = 1) (hΨ : ‖Ψ.ψ‖ = 1) (P B C : X → A → 𝒞) (hP : ∀ (x : X), IsPVMIn (P x)) (hB : ∀ (x : X) (a : A), 0 ≤ Ψ.π (B x a)) (hC : ∀ (x : X) (a : A), 0 ≤ Ψ.π (C x a)) (hCsum : ∀ (x : X), ∑ a : A, C x a = 1) (hBC : ∀ (x : X) (a : A), Ψ.π (B x a) ≤ Ψ.π (C x a)) {δ : ℝ} (hclose : ∑ x : X, D x * ∑ a : A, Ψ.snorm (P x a - B x a) ^ 2 ≤ δ) :
∑ x : X, D x * ∑ a : A, Ψ.snorm (P x a - C x a) ^ 2 ≤ 2 * δ + 4 * √δ

Averaging preserves the completion estimate, by concavity of the square root.