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This research provides crucial analytical expressions for noise accumulation in star-topology quantum networks, enabling direct optimization of conference-key rates without relying on computationally expensive simulations. By accurately modeling memory decoherence and stochastic link creation delays, the study offers a practical pathway to scaling multipartite entanglement distribution under realistic depolarizing noise conditions.
Star Networks Minimise Quantum Data Loss during Distribution
Can entanglement be reliably shared across a quantum network when some connections are established before others, introducing unavoidable delays? Analytical expressions now detail precisely how noise accumulates during GHZ state distribution in star networks, moving beyond simulations to allow rapid optimisation of network parameters. This work extends existing protocols to handle arbitrary quantum states under common depolarizing noise, a key step towards practical quantum communication.
Kenneth Goodenough and colleagues at Manning College of Information and Computer Sciences, in collaboration with Ulm University and University of California, present analytical expressions detailing noise and its distribution when generating GHZ states in star networks subject to memory decoherence. The work anticipates that initial multipartite distribution will likely occur via star topologies, and accurately characterises the impact of stochastic link creation and random waiting times on entanglement fidelity. The team’s findings include expressions for average noise, its distribution, and optimisation of cut-off parameters, extending their analysis to encompass depolarizing noise and arbitrary states. Analytical expressions for average noise in GHZ state…
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