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AntidistinguishabilitySpectrum

Abstract

Finite-dimensional spectral and overlap bounds for antidistinguishability.

Definition 1.1 (SpectralBalanced).

Formalization. D5/S3/Quantum/Measurement/AntidistinguishabilitySpectrum.SpectralBalanced (✓ std3).

Source. Repository-derived.

Acknowledgement. Nathaniel Johnston, Vincent Russo, Jamie Sikora (2025). Tight bounds for antidistinguishability and circulant sets of pure quantum states. DOI: 10.22331/q-2025-02-04-1622. URL: https://arxiv.org/abs/2311.17047v2.

Commentary.

The displayed predicate compares every eigenvalue square root against the sum over its complement. It organizes the spectral pairing proof.

Theorem 1.2 (spectral balanced pairing nonneg).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilitySpectrum.spectral_balanced_pairing_nonneg (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Nathaniel Johnston, Vincent Russo, Jamie Sikora (2025). Tight bounds for antidistinguishability and circulant sets of pure quantum states. DOI: 10.22331/q-2025-02-04-1622. URL: https://arxiv.org/abs/2311.17047v2.

Commentary.

The formula states the complete estimate or implication. Matrix entries, finite index sets, and proof parameters retain their Lean meanings. Proof fields of finite-index constructors are omitted.

Theorem 1.3 (spectral sufficient antidistinguishable).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilitySpectrum.spectral_sufficient_antidistinguishable (✓ std3). ∎

Citation. Nathaniel Johnston, Vincent Russo, Jamie Sikora (2025). Tight bounds for antidistinguishability and circulant sets of pure quantum states. DOI: 10.22331/q-2025-02-04-1622. URL: https://arxiv.org/abs/2311.17047v2.

Commentary.

Theorem 5.1, page 12: “Let n ≥ 2 be an integer and let G ∈ Pos(ℂⁿ) be the Gram matrix of a set S of n pure states, and let λ₀ ≥ λ₁ ≥ ⋯ ≥ λₙ₋₁ be the eigenvalues of G.” Its displayed square-root inequality implies antidistinguishability. The ordered values are read through the canonical finite eigenvalue equivalence. The displayed Lean implication also applies to unnormalized vectors; normalization is not used in this implication.

References