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This research establishes the strong converse exponent for quantum state merging entanglement cost, revealing that optimized $\alpha$-$z$ conditional Rényi entropies define this limit rather than the standard sandwiched variants typically found in quantum information theory. The findings also clarify how different smoothing regimes—partial versus global—affect the governing entropy expressions, advancing fundamental limits on quantum communication protocols.
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Strong Converse Exponent of Quantum State Merging

arXiv1 min read

arXiv:2608.27202v1 Announce Type: new Abstract: We determine the strong converse exponent for the entanglement cost of quantum state merging, showing that it is characterized by the optimized $\alpha$-$z$ conditional R\'enyi entropies with $z=\alpha/2\in[1/2,1]$. This contrasts with the sandwiched conditional R\'enyi entropies that typically govern strong converse exponents in quantum information theory. As a consequence, we derive the strong converse exponent of the partially smoothed conditional min-entropy in purified distance. This exponent is governed by club-sandwiched conditional entropies, whereas global smoothing leads to a sandwiched expression.

Abstract:We determine the strong converse exponent for the entanglement cost of quantum state merging, showing that it is characterized by the optimized $\alpha$-$z$ conditional Rényi entropies with $z=\alpha/2\in[1/2,1]$. This contrasts with the sandwiched conditional Rényi entropies that typically govern strong converse exponents in quantum information theory. As a consequence, we derive the strong converse exponent of the partially smoothed conditional min-entropy in purified distance. This exponent is governed by club-sandwiched conditional entropies, whereas global smoothing leads to a sandwiched expression.

Quantum Physics (quant-ph); Information Theory (cs.IT)

arXiv:2608.27202 [quant-ph]

(or arXiv:2608.27202v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.27202 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 177 words

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