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In order to realize the effective distribute parallel computing in large computer group, a parallel computing model based on improved graph partitioning and quantum genetic algorithm was proposed. Firstly, the traditional graph partitioning model was analyzed and the defects were listed, then the graph partitioning model was improved by changing the direction, communication consumption and load balance and etc, then the improved graph partitioning was obtained. Finally, the coding scheme was designed by minimizing the communication consumption and optimizing resource load balance as the goal, the optimum solution was got by operating the quantum genetic algorithm. The simulation shows the method in this paper can realize task parallel computing, and compared with the other methods, it has less average locating error, and therefore, it has big feasibility.