Generalized Choi maps and absolute PPT
Abstract
Generalized Choi maps preserve positivity on absolutely PPT qutrit density matrices.
Definition 1.1 (The generalized Choi map).
Formalization. D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.choiGen (✓ std3).
Citation. Srinivasan Arunachalam, Nathaniel Johnston and Vincent Russo (2015). Is absolute separability determined by the partial transpose?. URL: https://arxiv.org/abs/1405.5853v3.
Commentary.
Arunachalam–Johnston–Russo, Section 5.3, page 14. The coefficient a is 2-b-c. Indices are zero-based; the displayed entry at (0,0) is the source entry at (1,1). The scalar one-half is real and acts on the complex matrix.
Definition 1.2 (Action on the second tensor factor).
Formalization. D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.idTensor (✓ std3).
Citation. Srinivasan Arunachalam, Nathaniel Johnston and Vincent Russo (2015). Is absolute separability determined by the partial transpose?. URL: https://arxiv.org/abs/1405.5853v3.
Commentary.
The map acts on every three-by-three block. The second tensor factor carries Phi, matching the second-factor partial transpose in APPT.
Definition 1.3 (Non-detection for the full parameter region).
Formalization. D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.claim (✓ std3).
Citation. Srinivasan Arunachalam, Nathaniel Johnston and Vincent Russo (2015). Is absolute separability determined by the partial transpose?. URL: https://arxiv.org/abs/1405.5853v3.
Commentary.
Arunachalam–Johnston–Russo, Section 7, page 21, asks whether every generalized Choi map in the stated region is incapable of detecting absolutely PPT entanglement. APPT is the literal predicate of QutritPerturbationAttainment; density positivity and trace normalization are separate hypotheses.
Theorem 1.4 (Homogeneous quadratic estimate).
Proof. Machine-checked in Lean as D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.witness_purity_bound (✓ std3). ∎
Source. Repository-derived.
Commentary.
For a vector of arbitrary length, the adjoint image of its rank-one matrix has real trace-square at most half the squared total component mass whenever the parameter square-sum is at most two. A Gram-matrix purity estimate and the sum of three squared column masses give the bound.
Theorem 1.5 (Non-detection on absolutely PPT states).
Proof. Machine-checked in Lean as D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.result (✓ std3). ∎
Resolves. Problems/arunachalam-johnston-russo-2015-generalized-choi-absolutely-ppt (proved) by D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.result.
Source. Repository-derived.
Commentary.
The adjoint quadratic estimate combines with the qutrit APPT purity bound 17/121 and centered Frobenius Cauchy–Schwarz. In the triangle b+c≤1 the map is a positive combination of the two boundary maps and a diagonal conjugation map.
References
- Truth anchor:
D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.choiGen - Truth anchor:
D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.claim - Truth anchor:
D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.idTensor - Truth anchor:
D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.result - Truth anchor:
D5/S3/Quantum/Entanglement/AbsolutePPT/GeneralizedChoiNonDetection.witness_purity_bound - Dependency: D5/S3/Quantum/Entanglement/AbsolutePPT/QutritN3PurityBound
- Dependency: D5/S3/Quantum/Matrix/CartesianVariance