Main properties: polynomial-size parameter description
ProvedQAlgorithms.Papers.Independent.Intakethird100.P57.parameter_descriptionFor a chain of qubits and bond dimension , store the real and imaginary parts of the two complex site matrices, one real graph weight for each unordered pair, and all real and imaginary entries of each local unitary. This description is injective on the admissible data and uses
real entries. In particular, there is an absolute constant , independent of and of all numerical data, such that
This is a description-size statement in and . The unitary, graph-symmetry and angle constraints remain imposed; the count does not concern independent manifold coordinates or finite-precision bit storage.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P57
noncomputable section
open scoped ComplexConjugate Matrix
namespace QAlgorithms.Papers.Independent.Intakethird100.P57
attribute [local instance] Classical.propDecidable
/-- PDF p.2, Main properties: an injective description with an absolute uniform bound.
This counts real entries, not intrinsic coordinates or bounded-precision bits. -/
theorem parameter_description :
(∀ (N D : ℕ), 1 ≤ N → 1 ≤ D → Function.Injective (@describe N D)) ∧
(∀ (N D : ℕ), 1 ≤ N → 1 ≤ D → Fintype.card (DescriptionIndex N D) =
4 * N * D ^ 2 + N * (N - 1) / 2 + 8 * N) ∧
(∃ C : ℕ, 0 < C ∧ ∀ N D : ℕ, 1 ≤ N → 1 ≤ D →
Fintype.card (DescriptionIndex N D) ≤ C * (N * D ^ 2 + N ^ 2)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P57
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
The following three statements hold jointly. For every pair of natural numbers with and , consider records consisting of arbitrary complex matrices for each site and Boolean , symmetric real weights with zero diagonal and , and Boolean-indexed unitary complex matrices . Encode such a record as a real-valued function whose coordinates are the real and imaginary parts of every tensor entry, the weights for , and the real and imaginary parts of every rotation entry, with these three kinds of coordinates distinguished. First, this encoding is injective: two such records with identical values at every coordinate are equal. Second, the number of coordinates is exactly
Here subtraction and division in the displayed count are natural-number subtraction and integer division. Third, there exists a single natural number such that, for every , the number of these coordinates is at most
The assertions impose no normalization condition on the tensor matrices and make no claim for or .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.