Efficient Purification of Entangled Quantum States Using Noise Guessing Decoding

The authors propose a novel bipartite entanglement purification protocol that leverages the guessing random additive noise decoding (GRAND) approach, offering substantial advantages over existing hashing-based protocols in terms of reduced qubit demand, higher fidelities, better yields, and lower computational costs.