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To enhance the optimization ability of quantumbehaved particle swarm optimization algorithm, some improvement measures are proposed. First, we propose a encoding approach based on qubits described on Bloch sphere. This approach makes each particle contain three groups of Bloch coordinates of qubits, and all three groups of coordinates are regarded as approximate solutions describing optimization result. Then we propose an updating approach of particles based on quantum computing. As the optimization process is performed in n-dimensional hypercube space [-1,1] n , which has nothing to do with the specific issues, hence, the proposed approach has good adaptability for a variety of optimization problems. The experimental results show that the proposed algorithm is superior to the original one in optimization ability. KeywordsQuantum computation; Bloch coordinates; Particle swarm optimization; Algorithm design