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Diamond-norm distance ∥N−M∥⋄\|\mathcal{N} - \mathcal{M}\|_\diamond∥N−M∥⋄​ between quantum channels (and idR⊗N\mathrm{id}_R \otimes \mathcal{N}idR​⊗N)

Definition
WildeQIT_diamondNorm

by aadarwal · Sep 7, 2026 · Mathlib 0df444a (Lean v4.33.1)

diamond-normquantum-channelquantum-informationwilde-qit

Definition 9.1.3 (Diamond-Norm Distance). Let N,M:L(HA)→L(HB)\mathcal{N}, \mathcal{M} : \mathcal{L}(\mathcal{H}_A) \to \mathcal{L}(\mathcal{H}_B)N,M:L(HA​)→L(HB​) be quantum channels. The diamond-norm distance is defined as

∥N−M∥⋄≡sup⁡nmax⁡ρRnA∥(idRn⊗NA→B)(ρRnA)−(idRn⊗MA→B)(ρRnA)∥1,\|\mathcal{N} - \mathcal{M}\|_\diamond \equiv \sup_{n} \max_{\rho_{R_n A}} \left\| (\mathrm{id}_{R_n} \otimes \mathcal{N}_{A \to B})(\rho_{R_n A}) - (\mathrm{id}_{R_n} \otimes \mathcal{M}_{A \to B})(\rho_{R_n A}) \right\|_1 ,∥N−M∥⋄​≡nsup​ρRn​A​max​∥(idRn​​⊗NA→B​)(ρRn​A​)−(idRn​​⊗MA→B​)(ρRn​A​)∥1​,

where ρRnA∈D(HRn⊗HA)\rho_{R_n A} \in \mathcal{D}(\mathcal{H}_{R_n} \otimes \mathcal{H}_A)ρRn​A​∈D(HRn​​⊗HA​) and RnR_nRn​ is a reference system of dimension nnn.

The diamond norm quantifies how well two channels can be distinguished by any strategy that may use entanglement with a reference system; Theorem 9.1.1 shows the supremum is attained by a pure state with dim⁡HR=dim⁡HA\dim \mathcal{H}_R = \dim \mathcal{H}_AdimHR​=dimHA​.

Formalization Note. Channels are Kraus representations N M : WildeQIT.QChannel a b. The file first defines WildeQIT.QChannel.tensorIdApply r N X = ∑ i, (1 ⊗ₖ N.K i) * X * (1 ⊗ₖ N.K i)ᴴ, the action of idR⊗N\mathrm{id}_R \otimes \mathcal{N}idR​⊗N on X : Matrix (r × a) (r × a) ℂ (Kronecker convention, reference system first). Then WildeQIT.diamondNorm N M is the real supremum sSup of the set of trace distances traceDist (N.tensorIdApply (Fin n) ρ) (M.tensorIdApply (Fin n) ρ) over all n : ℕ and all density operators ρ on Fin n × a. Mathlib's sSup returns 0 for an empty or unbounded set; the set is nonempty whenever a is nonempty (take n=1n = 1n=1) and is bounded by 2 (both arguments are density operators), so no junk value arises in that case. It is a supremum over the union over nnn, which coincides with sup⁡nmax⁡ρ\sup_n \max_\rhosupn​maxρ​.

Definition code
import Definitions.Def_WildeQIT_traceDist
import Definitions.Def_WildeQIT_IsDensityOperator
import Definitions.Def_WildeQIT_QChannel
import Mathlib.LinearAlgebra.Matrix.Kronecker

/-!
Wilde, *Quantum Information Theory* (2nd ed.), §9.1.6, Definition 9.1.3 (Diamond-Norm Distance).

Let `𝒩, ℳ : L(ℋ_A) → L(ℋ_B)` be quantum channels. The diamond-norm distance is
`‖𝒩 − ℳ‖_◇ ≡ sup_n max_{ρ_{R_n A}} ‖(id_{R_n} ⊗ 𝒩_{A→B})(ρ_{R_n A}) − (id_{R_n} ⊗ ℳ_{A→B})(ρ_{R_n A})‖₁`,
where `ρ_{R_n A} ∈ 𝒟(ℋ_{R_n} ⊗ ℋ_A)` and `R_n` is a reference system of dimension `n`.
-/

open Matrix
open Kronecker

namespace WildeQIT

/-- The channel `id_R ⊗ 𝒩` acting on operators of the composite system `R ⊗ A`, for a channel
`𝒩 : L(ℋ_A) → L(ℋ_B)` in Kraus form: `(id_R ⊗ 𝒩)(X) = ∑ᵢ (I_R ⊗ Kᵢ) X (I_R ⊗ Kᵢ)†`. -/
def QChannel.tensorIdApply {a b : Type} [Fintype a] [Fintype b] [DecidableEq a]
    (r : Type) [Fintype r] [DecidableEq r] (N : QChannel a b)
    (X : Matrix (r × a) (r × a) ℂ) : Matrix (r × b) (r × b) ℂ :=
  ∑ i, ((1 : Matrix r r ℂ) ⊗ₖ N.K i) * X * ((1 : Matrix r r ℂ) ⊗ₖ N.K i)ᴴ

/-- **Definition 9.1.3 (Diamond-Norm Distance).** For channels `𝒩, ℳ : L(ℋ_A) → L(ℋ_B)`,
`‖𝒩 − ℳ‖_◇` is the supremum, over all reference-system dimensions `n` and all density
operators `ρ` on `R_n ⊗ A` (`R_n` indexed by `Fin n`), of the trace distance
`‖(id ⊗ 𝒩)(ρ) − (id ⊗ ℳ)(ρ)‖₁`. -/
noncomputable def diamondNorm {a b : Type} [Fintype a] [Fintype b] [DecidableEq a] [DecidableEq b]
    (N M : QChannel a b) : ℝ :=
  sSup {x : ℝ | ∃ (n : ℕ) (ρ : Matrix (Fin n × a) (Fin n × a) ℂ), IsDensityOperator ρ ∧
    x = traceDist (N.tensorIdApply (Fin n) ρ) (M.tensorIdApply (Fin n) ρ)}

end WildeQIT
Source
Wilde, *Quantum Information Theory*, 2nd ed. (Cambridge University Press, 2017; arXiv:1106.1445v8), §9.1.6 "Channel Distinguishability and the Diamond Norm", Definition 9.1.3 (Diamond-Norm Distance).

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