We present protocols for distributing multipartite entanglement that use a quantum switch to deliver stabilizer states to remote users. Unlike existing schemes, which wait for all Bell pairs to be generated before distribution, our approach retains only a minimal set of pairs and immediately processes each subsequent one. This reduces the average Bell-pair storage time and accumulated noise. The protocol is theoretically based on the structure of vertex covers in graph states up to local complementation. Numerical comparison with the baseline scheme for states up to 50 qubits shows that the new protocol always achieves fidelity equal to or higher than the baseline, reducing infidelity by up to 45%. In addition, it enables reaching the critical fidelity threshold of 1/2 for multipartite entanglement over a wider range of depolarizing rates and success probabilities of Bell-pair generation.
Quantum entanglement between distant points degrades over time — noise increases entropy, much like heat melts ice cream. Traditional methods wait for all pairs to appear before assembling a multipartite state. But delay spoils quality.
A new protocol acts without waiting: each Bell pair, delivered by photons at speed of light, is used immediately. Its mathematical trick is a “vertex cover” in the connection graph. This is a minimal set of nodes that holds the whole network together, like a few dominoes in a chain. Only this core is stored, while other connections are updated on the fly. The idea relies on stabilizers — recipes for quantum states developed by Daniel Gottesman.
The result: in simulations of up to 50 qubits, the error drops by 45%. The protocol confidently reaches the threshold fidelity of ½ even when noise is strong. From this threshold onward, multipartite entanglement becomes practically useful. The quality of the final “assembly” is assessed by photometry — like a dosimeter for melted ice cream.
🎯 Today’s record entangled ensemble is 20 qubits. The new method targets 50+, reducing melting and bringing the quantum internet closer.