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In this paper, we propose a novel quantum-inspired evolutionary algorithm, called quantum-inspired Tabu search (QTS). QTS is based on the classical Tabu search and the characteristic of quantum computation, such as superposition. We will present how we implement QTS to solve 0/1 knapsack problem. Furthermore, the results of experiment are also compared with the original Quantum-inspired Evolutionary Algorithm (QEA)' and the other heuristic algorithms' experimental results. The final outcomes shows that QTS performs much better than the others on 0/1 knapsack problem, without premature convergence and more efficiency.