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AntidistinguishabilityOverlapNonTight

Abstract

Finite-dimensional spectral and overlap bounds for antidistinguishability.

Theorem 1.1 (squared modulus lipschitz).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.squared_modulus_lipschitz (✓ 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.

Squared norms on the complex unit ball are Lipschitz with constant two.

Theorem 1.2 (norm square gram factor).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.norm_square_gram_factor (✓ 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 entrywise squared-modulus Gram matrix factors through the outer products of its rows.

Theorem 1.3 (norm square gram rank).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.norm_square_gram_rank (✓ 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 squared-modulus Gram matrix of r-dimensional rows has rank at most r squared.

Definition 1.4 (IsTight).

Formalization. D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.IsTight (✓ 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.

Section 6, page 17: “We still do not know whether or not Corollary 5.4 is tight when n ≥ 5.” The displayed tightness condition uses a squared-overlap margin. For n ≥ 10 the source cap is positive, so squaring reparametrizes its positive margin.

Definition 1.5 (claim).

Formalization. D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.claim (✓ 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.

Section 6, page 17: “We still do not know whether or not Corollary 5.4 is tight when n ≥ 5.” The statement answers the question by proving non-tightness for every n ≥ 10; n = 5,…,9 remain open.

Theorem 1.6 (quantitative antidistinguishability).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.quantitative_antidistinguishability (✓ 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 1.7 (result).

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

Resolves. Problems/johnston-russo-sikora-2025-antidistinguishability-tightness (proved) by D5/S3/Quantum/Measurement/AntidistinguishabilityOverlapNonTight.result.

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.

References