Quantum Compression for Distributed Entanglement

2026-05-05

Abstract

We study compression strategies for multipartite entanglement distribution under uncertainty in the partitioning of the quantum state. When the partition is not known at the time of state preparation, we show that a joint design of the resource state and a family of compression schemes can increase the entanglement across partitions under a fixed transmission budget. We formulate this as a source coding problem and derive non-asymptotic upper and lower bounds on the achievable average entanglement subject to an average coding rate. We furthermore design an efficient method for jointly optimizing states and lossless compression maps by exploiting the inherent symmetry of weighted Dicke states. In the bipartite case, we propose practical constructions that closely approach the derived upper bound, and more generally we provide practical constructions for multipartite settings.

Problem

• quantum compression
• distributed entanglement
• multipartite entanglement
• uncertain partitioning
• source coding

Innovation

• quantum compression
• multipartite entanglement
• source coding
• Dicke states
• entanglement distribution