2D HP protein folding using quantum genetic algorithm

The protein structure prediction (PSP) is one of the main challenges in biology science. If we can find optimal solution of PSP by new technology like quantum computation which has great tools to compute, we can decrease time of process and memory useless. In this paper we introduce new approach to find optimal solution of 2D HP protein folding using quantum genetic algorithm which combination of advantages of quantum computation and genetic evolutionary process. Our approach can find solution of problem faster and more memoryless than traditional genetic algorithm by maintaining accuracy.