Sandwiched Trace Functional mono trace Right
sandwichedTraceFunctional_mono_traceRight
Plain-language statement
Monotonicity of the trace functional under partial trace for α > 1. Equation (2.8) of the paper (second line).
Exact Lean statement
theorem sandwichedTraceFunctional_mono_traceRight [Nonempty dB]
(hα : 1 < α) (ρ σ : MState (dA × dB)) (hker : σ.M.ker ≤ ρ.M.ker) :
Q̃_ α(ρ.traceRight‖σ.traceRight) ≤ Q̃_ α(ρ‖σ)Formal artifact
Lean source
theorem sandwichedTraceFunctional_mono_traceRight [Nonempty dB] (hα : 1 < α) (ρ σ : MState (dA × dB)) (hker : σ.M.ker ≤ ρ.M.ker) : Q̃_ α(ρ.traceRight‖σ.traceRight) ≤ Q̃_ α(ρ‖σ) := by -- Obtain the twirling unitaries obtain ⟨κ, hκ_fin, hκ_ne, V, hV⟩ := exists_twirling_unitaries (dB := dB) letI : Fintype κ := hκ_fin letI : Nonempty κ := hκ_ne -- By unitary invariance, Q̃_α(ρ‖σ) = Q̃_α(V_i ρ V_i†‖V_i σ V_i†) for each i have h_inv (i) : Q̃_ α(ρ.conjTensorUnitary (V i)‖σ.conjTensorUnitary (V i)) = Q̃_ α(ρ‖σ) := sandwichedTraceFunctional_conj_tensorUnitary ρ σ (V i) -- Step 2: Q̃_α(ρ‖σ) = Σ_i (1/|κ|) * Q̃_α(V_i ρ V_i†‖V_i σ V_i†) have hcard_ne : (Fintype.card κ : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr Fintype.card_ne_zero have h_avg : Q̃_ α(ρ‖σ) = ∑ i : κ, (Fintype.card κ : ℝ)⁻¹ * Q̃_ α(ρ.conjTensorUnitary (V i)‖σ.conjTensorUnitary (V i)) := by simp only [h_inv, Finset.sum_const, Finset.card_univ, nsmul_eq_mul] field_simp -- Step 3: By joint convexity (α > 1) have hw_sum : ∑ i : κ, (Fintype.card κ : ℝ)⁻¹ = 1 := by rw [Finset.sum_const, Finset.card_univ, nsmul_eq_mul] exact mul_inv_cancel₀ hcard_ne set ρ_mix := ρ.traceRight ⊗ᴹ MState.uniform (d := dB) set σ_mix := σ.traceRight ⊗ᴹ MState.uniform (d := dB) have hρ_mix : ρ_mix.M = ∑ i : κ, (Fintype.card κ : ℝ)⁻¹ • (ρ.conjTensorUnitary (V i)).M := (twirling_average_eq κ V hV ρ).symm have hσ_mix : σ_mix.M = ∑ i : κ, (Fintype.card κ : ℝ)⁻¹ • (σ.conjTensorUnitary (V i)).M := (twirling_average_eq κ V hV σ).symm have h_convex := sandwichedTraceFunctional_jointly_convex hα (fun (_ : κ) => (Fintype.card κ : ℝ)⁻¹) (by intro; positivity) hw_sum (fun i => ρ.conjTensorUnitary (V i)) (fun i => σ.conjTensorUnitary (V i)) ρ_mix σ_mix hρ_mix hσ_mix (fun i => MState.ker_conjTensorUnitary_le ρ σ (V i) hker) -- Step 4 + 5: Q̃_α(ρ_A ⊗ π_B‖σ_A ⊗ π_B) = Q̃_α(ρ_A‖σ_A) by tensor invariance have h_tensor : Q̃_ α(ρ_mix‖σ_mix) = Q̃_ α(ρ.traceRight‖σ.traceRight) := sandwichedTraceFunctional_tensor_invariant (by linarith) ρ.traceRight σ.traceRight MState.uniform -- Combine calc Q̃_ α(ρ.traceRight‖σ.traceRight) = Q̃_ α(ρ_mix‖σ_mix) := h_tensor.symm _ ≤ ∑ i : κ, (Fintype.card κ : ℝ)⁻¹ * Q̃_ α(ρ.conjTensorUnitary (V i)‖σ.conjTensorUnitary (V i)) := h_convex _ = Q̃_ α(ρ‖σ) := h_avg.symm- Project
- quantumInfo
- License
- MIT
- Commit
- 56e83a9288a3
- Source
- QuantumInfo/Finite/Entropy/DPI.lean:1284-1322
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