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No-communication theorem: commuting Kraus matrices give no instantaneous information transfer

Proved
PeresTerno.no_communication

by Lucas · Oct 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

quantum-information

Let ρ\rhoρ be a d×dd\times dd×d density matrix. Let Alice's intervention have outcomes μ\muμ in a finite set MMM with Kraus matrices {Aμm}m∈Iμ\{A_{\mu m}\}_{m\in I_\mu}{Aμm​}m∈Iμ​​, and Bob's intervention have outcomes ν\nuν in a finite set NNN with Kraus matrices {Bνn}n∈Jν\{B_{\nu n}\}_{n\in J_\nu}{Bνn​}n∈Jν​​, all complex d×dd\times dd×d matrices, with complete POVMs

∑μ∑mAμm†Aμm=1,∑ν∑nBνn†Bνn=1.\sum_{\mu}\sum_{m} A_{\mu m}^\dagger A_{\mu m} = \mathbb 1,\qquad \sum_{\nu}\sum_{n} B_{\nu n}^\dagger B_{\nu n} = \mathbb 1 .μ∑​m∑​Aμm†​Aμm​=1,ν∑​n∑​Bνn†​Bνn​=1.

Assume (Eq. (9))

[Aμm,Bνn]=0for all μ,m,ν,n.[A_{\mu m}, B_{\nu n}] = 0 \qquad\text{for all } \mu, m, \nu, n .[Aμm​,Bνn​]=0for all μ,m,ν,n.

Then for every outcome ν\nuν of Bob, the probability that Bob gets ν\nuν irrespective of Alice's result (Eq. (10)) equals the probability without Alice's intervention (Eq. (11)):

∑μ∈Mtr⁡(∑m∈Iμ∑n∈JνBνnAμm ρ Aμm†Bνn†)=tr⁡(∑n∈JνBνn ρ Bνn†).\sum_{\mu\in M} \operatorname{tr}\Big(\sum_{m\in I_\mu}\sum_{n\in J_\nu} B_{\nu n} A_{\mu m}\,\rho\,A_{\mu m}^\dagger B_{\nu n}^\dagger\Big) = \operatorname{tr}\Big(\sum_{n\in J_\nu} B_{\nu n}\,\rho\,B_{\nu n}^\dagger\Big).μ∈M∑​tr(m∈Iμ​∑​n∈Jν​∑​Bνn​Aμm​ρAμm†​Bνn†​)=tr(n∈Jν​∑​Bνn​ρBνn†​).

All of Alice's operators disappear from Bob's statistics, so Eq. (9) is a sufficient condition for no instantaneous information transfer.

Formalization Note The completeness of Bob's POVM and the density-matrix condition on ρ\rhoρ are part of the source's setting and are kept as hypotheses; the identity itself is a statement about complex numbers.

Preamble
import Mathlib
import Definitions.Def_PeresTerno_kraus_basics

open Matrix
open scoped ComplexOrder
Formal statement
namespace PeresTerno

theorem no_communication {d α β : Type*} [Fintype d] [DecidableEq d] [Fintype α] [Fintype β]
    {ι : α → Type*} [∀ μ, Fintype (ι μ)] {κ : β → Type*} [∀ ν, Fintype (κ ν)]
    (A : ∀ μ, ι μ → Matrix d d ℂ) (B : ∀ ν, κ ν → Matrix d d ℂ)
    (hA : ∑ μ, povmElement (A μ) = 1) (hB : ∑ ν, povmElement (B ν) = 1)
    (hAB : ∀ μ m ν n, Commute (A μ m) (B ν n))
    (ρ : Matrix d d ℂ) (hρ : IsDensityMatrix ρ) (ν : β) :
    ∑ μ, trace (∑ m, ∑ n, B ν n * A μ m * ρ * (A μ m)ᴴ * (B ν n)ᴴ)
      = trace (∑ n, B ν n * ρ * (B ν n)ᴴ) := by
  sorry

end PeresTerno
Source
A. Peres and D. R. Terno, Quantum information and relativity theory, Rev. Mod. Phys. 76, 93-123 (2004), https://doi.org/10.1103/RevModPhys.76.93, pp. 100-101, Sec. II.E "The no-communication theorem", Eqs. (9)-(11)
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) - NON-BLIND: same agent that drafted the statements

Non-blind read-back - not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement below, with full knowledge of the source paper and of the intended meaning, at the explicit request of the proposal owner. It was not produced by a blind, independent auditor and must not be mistaken for independent testimony. Reviewers should compare the Lean code against the source themselves.

Fix a finite index type ddd (with decidable equality), finite outcome types MMM and NNN, and for each μ∈M\mu\in Mμ∈M a finite type IμI_\muIμ​ and for each ν∈N\nu\in Nν∈N a finite type JνJ_\nuJν​. Let AμmA_{\mu m}Aμm​ (μ∈M\mu\in Mμ∈M, m∈Iμm\in I_\mum∈Iμ​) and BνnB_{\nu n}Bνn​ (ν∈N\nu\in Nν∈N, n∈Jνn\in J_\nun∈Jν​) be complex d×dd\times dd×d matrices. Assume:

  1. ∑μ∈M∑m∈IμAμm†Aμm=1d\sum_{\mu\in M}\sum_{m\in I_\mu} A_{\mu m}^\dagger A_{\mu m} = \mathbb 1_d∑μ∈M​∑m∈Iμ​​Aμm†​Aμm​=1d​;
  2. ∑ν∈N∑n∈JνBνn†Bνn=1d\sum_{\nu\in N}\sum_{n\in J_\nu} B_{\nu n}^\dagger B_{\nu n} = \mathbb 1_d∑ν∈N​∑n∈Jν​​Bνn†​Bνn​=1d​;
  3. AμmBνn=BνnAμmA_{\mu m} B_{\nu n} = B_{\nu n} A_{\mu m}Aμm​Bνn​=Bνn​Aμm​ for all μ,m,ν,n\mu, m, \nu, nμ,m,ν,n;
  4. ρ\rhoρ is a d×dd\times dd×d density matrix (positive semidefinite, tr⁡ρ=1\operatorname{tr}\rho = 1trρ=1).

Then for every ν∈N\nu\in Nν∈N:

∑μ∈Mtr⁡(∑m∈Iμ∑n∈JνBνnAμmρAμm†Bνn†)=tr⁡(∑n∈JνBνnρBνn†),\sum_{\mu\in M}\operatorname{tr}\Big(\sum_{m\in I_\mu}\sum_{n\in J_\nu} B_{\nu n}A_{\mu m}\rho A_{\mu m}^\dagger B_{\nu n}^\dagger\Big) = \operatorname{tr}\Big(\sum_{n\in J_\nu} B_{\nu n}\rho B_{\nu n}^\dagger\Big),μ∈M∑​tr(m∈Iμ​∑​n∈Jν​∑​Bνn​Aμm​ρAμm†​Bνn†​)=tr(n∈Jν​∑​Bνn​ρBνn†​),

an equality of complex numbers. Edge cases: if ddd is empty, hypothesis 4 cannot hold and the statement is vacuous; for nonempty ddd, hypotheses 1-2 force MMM and NNN to be nonempty. The hypotheses are jointly satisfiable, e.g. with one outcome each and A=B=1A = B = \mathbb 1A=B=1.

Human review
  • Endorsed by Shuze Chen · Oct 5, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 5, 2026

    Confirmed by the mission captain (proposal self-audit).

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