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Due to outstanding learning capabilities, neural networks have attracted a great deal of research interests and various structures for them have been presented. Quantum neural network is one these structures used in quantum calculations to improve learning capabilities of neural networks. In this paper, using a quantum neural network, a chaos controller for rod-type plasma torch system is developed. This system is extensively nonlinear and its dynamics shows considerable sensitivity to its parameters that makes it a good challenge for investigation of controllers’ performances. It is very common to utilize particle swarm optimization (PSO) algorithm to determine the parameters of neural networks. The novelty of this paper is changing the search space of the parameters in each particle based on that parameter’s value. Also, weaker particles will be deleted and new particles will be substituted. These …