Quantum Clique Gossiping
Bo Li, Shuang Li, Junfeng Wu, Hongsheng Qi

TL;DR
This paper introduces a framework for accelerating quantum gossip algorithms using local clique operations, demonstrating improved convergence rates and analyzing their effects on quantum network dynamics.
Contribution
It presents a novel approach to quantum gossiping with clique operations, showing acceleration effects similar to classical algorithms and analyzing convergence properties.
Findings
Clique operations accelerate quantum gossip algorithms.
Randomized clique selection improves convergence rate by O(k/n).
Larger cliques do not always increase network convergence speed.
Abstract
This paper establishes a framework for the acceleration of quantum gossip algorithms by introducing local clique operations to networks of interconnected qubits. Cliques are local structures in complex networks being complete subgraphs. Based on cyclic permutations, clique gossiping leads to collective multi-party qubit interactions. This type of algorithm can be physically realized by a series of local environments using coherent methods. First of all, we show that at reduced states, these cliques have the same acceleration effects as their roles in accelerating classical gossip algorithms, which can even make possible finite-time convergence for suitable network structures. Next, for randomized selection of cliques where node updates enjoy a more self-organized and scalable sequencing, we show that the rate of convergence is precisely improved by at the reduced…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Distributed Control Multi-Agent Systems · Complex Network Analysis Techniques
