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Inspired by the recent developments in the field of distributed quantum computing, distributed quantum systems are analyzed as networks of quantum systems. This gives rise to the distributed quantum consensus algorithms. Focus of this paper is on optimizing the convergence rate of the continuous-time quantum consensus algorithm over a quantum network with $N$ qudits. It is shown that the optimal convergence...
Networked systems often contain both positive and negative interactions between nodes, with the latter often represented as negative edge weights in a graph. Such negative edges may prevent a network from performing cooperative tasks such as achieving consensus, creating a need for new control-theoretic techniques that guarantee performance in the presence of negative edges. This paper considers the...
Characterizing convergence speed is one of the important research challenges in the design of distributed consensus algorithms for networked multi-agent systems. In this paper, we consider a group of agents that communicate via a dynamically switching directed random network. Each link in the network, which represents the directed information flow between any ordered pair of agents, could be subject...
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