PPT-square conjecture for block Schur products
PPT-square conjecture for block Schur products
Let be a matrix algebra, and let be states. Let denote their block Schur product, followed by block-wise summation. A state is PPT if it has positive partial transpose, and is separable if it belongs to the separable cone. PPT-square conjecture. For all states , if both and are PPT, then the block-wise summation of the block Schur product is separable. This is a state-level reformulation of the PPT-square conjecture and concerns whether the PPT condition is sufficient for separability after this block-wise product operation.
Sources & referencesView supporting material
Primary source
Mark Girard, Seung-Hyeok Kye and Erling Størmer, “Convex cones in mapping spaces between matrix algebras”, arXiv:2002.09614 (2020).
Progress summary
The conjecture remains unproved in general: only special dimensions and restricted families are known.
Proposed by Christandl, the conjecture says that combining two states satisfying the positive-partial-transpose condition by the stated block operation always produces a separable state. Equivalent formulations concern whether composing two maps is always entanglement breaking.
Known results
- The case is proved, using that states with positive partial transpose have Schmidt number at most two (Johnston, 2019).
- The conjecture holds for certain graph-based Schur-product maps (2017).
- For unital maps, some finite iterate is entanglement breaking; related iterates approach the entanglement-breaking cone for unital or trace-preserving maps.
- A generic-result paper establishes the conjecture for some induced-state regimes, but not in general.
Current status (as of August 2026): The case and several restricted or generic families are settled, but the general block-Schur-product -square conjecture has no recorded proof or counterexample.
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