The Min-Rains Relative Entropy Is Not Tight for Exact PPT Entanglement Distillation

• URL: http://arxiv.org/abs/2608.12135v1
• Date: Wed, 12 Aug 2026 14:54:36 GMT
• Title: The Min-Rains Relative Entropy Is Not Tight for Exact PPT Entanglement Distillation
• Abstract summary: Exact entanglement distillation converts a noisy bipartite state into a maximally entangled state with zero error.<n> min-Rains relative entropy provides a single-letter upper bound on the regularized distillation rate.<n>We show this upper bound lies strictly below the min-Rains relative entropy for every state with that support.
• Score: 8.474454335697791
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Exact entanglement distillation converts a noisy bipartite state into a maximally entangled state with zero error. Under completely PPT-preserving operations, the additive min-Rains relative entropy provides a single-letter upper bound on the regularized distillation rate. An interesting problem in entanglement theory dating back to 2016 has been whether this bound is always tight. Here we resolve this question in the negative. The key is a tensor-stable rigidity absent from the min-Rains relaxation: every feasible exact-distillation effect must act as the identity on the support of the input state. We convert this constraint into a new single-letter upper bound using a generally non-Hermitian, range-supported witness. For a rank-three subspace, we show this upper bound lies strictly below the min-Rains relative entropy for every state with that support. Thus, the constraint discarded by the min-Rains relaxation remains relevant under arbitrary tensor powers. Our result rules out the min-Rains relative entropy as a closed-form formula for exact PPT distillable entanglement and reveals the subtle asymptotic structure of exact entanglement manipulation under PPT operations.

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