Joint optimization of resource states and lossless compression maps for multipartite entanglement distribution under unknown partitioning yields non-asymptotic bounds on average entanglement and practical constructions approaching the bounds for bipartite cases.
Distillation of secret key and entanglement from quantum states
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Quantum Compression for Distributed Entanglement
Joint optimization of resource states and lossless compression maps for multipartite entanglement distribution under unknown partitioning yields non-asymptotic bounds on average entanglement and practical constructions approaching the bounds for bipartite cases.