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Multi-partite Quantum Entanglement versus Randomization: Fair and Unbiased Leader Election in Networks

机译:多部分量子纠缠与随机化:公平与差异   网络中无偏见的领导者选举

摘要

In this paper we show that sufficient multi-partite quantum entanglementhelps in fair and unbiased election of a leader in a distributed network ofprocessors with only linear classical communication complexity. We show that atotal of $O(\log n)$ distinct multi-partite maximally entanglement sets (ebits)are capable of supporting such a protocol in the presence of nodes that may lieand thus be biased. Here, $n$ is the number of nodes in the network. We alsodemonstrate the difficulty of performing unbiased and fair election of a leaderwith linear classical communication complexity in the absence of quantumentanglement even if all nodes have perfect random bit generators. We show thatthe presence of a sufficient number $O(n/\log n)$ of biased agents leads to anon-zero limiting probability of biased election of the leader, whereas, thepresence of a smaller number $O(\log n)$ of biased agents matters little. Wedefine two new related complexity classes motivated by the our leader electionproblem and discuss a few open questions.
机译:在本文中,我们证明了足够多的多方量子纠缠有助于公平,公正地选择仅具有线性经典通信复杂性的分布式处理器网络中的领导者。我们证明,在存在可能存在并因此有偏差的节点的情况下,总的$ O(\ log n)$个独特的多部分最大纠缠集(ebit)能够支持此类协议。此处,$ n $是网络中的节点数。我们还演示了即使在所有节点都有完美的随机位生成器的情况下,在没有量子纠缠的情况下,执行具有线性经典通信复杂性的领导者进行公正和公正选举的困难。我们证明存在足够数量的偏向代理人$ O(n / \ log n)$会导致领导者偏见选举的非零限制概率,而存在较小数量的$ O(\ log n)$有偏见的特工无关紧要。根据领导者选举问题,定义两个新的相关复杂性类别,并讨论一些未解决的问题。

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