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On noise in swap ASAP repeater chains: exact analytics, distributions and tight approximations

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arxiv 2404.07146 v5 pith:DWQXQANV submitted 2024-04-10 quant-ph

classification quant-ph
keywords fidelitychainrepeaterquantumsegmentsanalyticallyapproximationsasap
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Losses are one of the main bottlenecks for the distribution of entanglement in quantum networks, which can be overcome by the implementation of quantum repeaters. The most basic form of a quantum repeater chain is the swap ASAP repeater chain. In such a repeater chain, elementary links are probabilistically generated and deterministically swapped as soon as two adjacent links have been generated. As each entangled state is waiting to be swapped, decoherence is experienced, turning the fidelity of the entangled state between the end nodes of the chain into a random variable. Fully characterizing the (average) fidelity as the repeater chain grows is still an open problem. Here, we analytically investigate the case of equally-spaced repeaters, where we find exact analytic formulae for all moments of the fidelity up to 25 segments. We obtain these formulae by providing a general solution in terms of a generating function; a function whose n'th term in its Maclaurin series yields the moments of the fidelity for n segments. We generalize this approach as well to a global cut-off policy -- a method for increasing fidelity at the cost of longer entanglement delivery times -- allowing for fast optimization of the cut-off parameter by eliminating the need for Monte Carlo simulation. We furthermore find simple approximations of the average fidelity that are exponentially tight, and, for up to 10 segments, the full distribution of the delivered fidelity. We use this to analytically calculate the secret-key rate, both with and without binning methods.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning

    quant-ph 2024-12 conditional novelty 6.0 of 10

    For quantum repeater chains with classical communication delays, predictive and reinforcement-learning policies that act on partial information deliver end-to-end entanglement faster than wait-for-broadcast swap-asap ...

  2. A resource- and computationally-efficient protocol for multipartite entanglement distribution in Bell-pair networks

    quant-ph 2024-12 conditional novelty 6.0 of 10

    A greedy star-merging protocol distributes GHZ states over arbitrary Bell-pair networks with O(N) gates, N-1 Bell pairs in the complete case, and a polynomial-time alternative to Steiner-tree-based methods.

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