Minimum nonnegative TMSS squeezing, with singular cases corrected
OpenQAlgorithms.Papers.Independent.Intakethird100.P89.minimumTMSSSqueezingLet , , and . Define independently as the infimum of nonnegative solutions to the actual TMSS noise equation
This set has a least element, and
A normalized pure TMSS of parameter , with covariance blocks , , has logarithmic negativity and finite per-mode photon number . At gain it simulates this channel on every input density. The identity has no finite nonnegative solution of the noise equation. On , , one has , with equality exactly when or , and strict inequality for , .
The unit-transmissivity extension and equality exceptions correct the printed singular formula and blanket strict comparison; no assertion of two distinct nonnegative roots is made.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P89
noncomputable section
open MeasureTheory Filter
open scoped BigOperators ENNReal Topology ComplexOrder
attribute [local instance] Classical.propDecidable Classical.decEq
namespace QAlgorithms.Papers.Independent.Intakethird100.P89
open QAlgorithms.Papers.Independent.Dependency50.P33
(State IsDensity IsTraceClassChannel tensorApply traceSize)
open QAlgorithms.Papers.Independent.Dependency50.P39
(coherentKet coherentCoefficient operatorOfMatrix husimiQ HasFockMatrix CoherentRealized)
open QAlgorithms.Papers.Independent.Frontier30.P14 (weylCharacteristic)
open QAlgorithms.Papers.Independent.Claimed50.P19
(Cov FockIndex DensityKernel PhysicalCovariance CharacteristicSummable
multimodeWeylTrace covarianceCharacteristicValue standardFormCovariance)
open QAlgorithms.Papers.Independent.Frontier30.P08 (QuadratureIndex)
open QAlgorithms.Papers.Independent.Gap48.P26 (PhaseInsensitive coherentKernel)
open QAlgorithms.Entanglement (partialTransposeFirst)
/-- PDF p.3, (10): minimum defined by the actual noise equation; finite
TMSS realization on every input. CORRECTIONS: tau=1 uses log(2/y)/2;
identity has no finite solution; the strict r0>r comparison has equality
at tau=1 or r=0. No assertion of two distinct nonnegative roots is made. -/
theorem minimumTMSSSqueezing (tau y : ℝ) (htau : 0 < tau)
(hy : |1 - tau| ≤ y) (hyupper : y ≤ 1 + tau)
(hidentity : tau ≠ 1 ∨ y ≠ 0) :
IsLeast {s : ℝ | 0 ≤ s ∧ tmssNoise (Real.sqrt tau) s = y}
(minimumSqueezing tau y) ∧
minimumSqueezing tau y = squeezingClosedForm tau y ∧
(∃ (rho : State (ℕ × ℕ)) (Phi : OscillatorChannel),
rho.coefficients = tmssKernel (minimumSqueezing tau y) ∧
CenteredResource rho (standardFormCovariance
(Real.cosh (2 * minimumSqueezing tau y)) (Real.cosh (2 * minimumSqueezing tau y))
(-Real.sinh (2 * minimumSqueezing tau y)) (Real.sinh (2 * minimumSqueezing tau y))) ∧
twoModeMeanPhotonEnergy rho = ENNReal.ofReal (Real.sinh (minimumSqueezing tau y) ^ 2) ∧
twoModeMeanPhotonEnergy rho < ⊤ ∧
traceSize (partialTransposeFirst rho.coefficients) =
ENNReal.ofReal (Real.exp (2 * minimumSqueezing tau y)) ∧
IsBK rho (Real.sqrt tau) Phi ∧ PhaseInsensitive Phi tau y) ∧
(¬ ∃ s : ℝ, 0 ≤ s ∧ tmssNoise 1 s = 0) ∧
(∀ r : ℝ, 0 ≤ r → y = Real.exp (-2 * r) * (1 + tau) →
r ≤ minimumSqueezing tau y ∧
(minimumSqueezing tau y = r ↔ tau = 1 ∨ r = 0) ∧
(0 < r → tau ≠ 1 → r < minimumSqueezing tau y)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P89
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
For real satisfying , , and or , define
The number belongs to this set and is at most every other member, and
To specify the resource assertion, a trace-class kernel on means a kernel with and ; a density kernel additionally has real nonnegative finite quadratic forms and a summable real diagonal of sum one. Let be the extended-nonnegative infimum of these norm-product sums, with empty infimum , and write in . There exist a two-mode density kernel and a function on one-mode kernels with
This is symmetric positive definite and is positive semidefinite, . Define
Every inner and outer series here is summable for every real , and . Moreover
The function preserves trace-class kernels, is additive and complex homogeneous on them, and preserves density kernels under every finite first-factor ampliation, including the vacuous dimension-zero test. For every one-mode density kernel and every ,
The statement also asserts that no satisfies . Finally, for every with , one has , with if and only if or ; if and , then . The excluded case is exactly .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.