Explicit error bounds for entanglement transformations between sparse
multipartite states
- URL: http://arxiv.org/abs/2309.11429v1
- Date: Wed, 20 Sep 2023 16:06:48 GMT
- Title: Explicit error bounds for entanglement transformations between sparse
multipartite states
- Authors: D\'avid Bug\'ar, P\'eter Vrana
- Abstract summary: A nontrivial family of such functional exponents has recently been constructed.
We derive a new regularised formula for these functionals in terms of a subadditive upper bound.
Our results provide explicit bounds on the success probability of transformations by local operations and classical communication.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The trade-off relation between the rate and the strong converse exponent for
probabilistic asymptotic entanglement transformations between pure multipartite
states can in principle be characterised in terms of a class of entanglement
measures determined implicitly by a set of strong axioms. A nontrivial family
of such functionals has recently been constructed, but their previously known
characterisations have so far only made it possible to evaluate them in very
simple cases. In this paper we derive a new regularised formula for these
functionals in terms of a subadditive upper bound, complementing the previously
known superadditive lower bound. The upper and lower bounds evaluated on tensor
powers differ by a logarithmically bounded term, which provides a bound on the
convergence rate. In addition, we find that on states satisfying a certain
sparsity constraint, the upper bound is equal to the value of the corresponding
additive entanglement measure, therefore the regularisation is not needed for
such states, and the evaluation is possible via a single-letter formula. Our
results provide explicit bounds on the success probability of transformations
by local operations and classical communication and, due to the additivity of
the entanglement measures, also on the strong converse exponent for asymptotic
transformations.
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