Quantum Search Algorithm Based on Multi-Phase
Tan Li, Wan‐Su Bao, Wen-Qian Lin, Hou Zhang, Xiang-Qun Fu · Chinese Physics Letters · 2014
The success probability of the Grover quantum search algorithm decreases quickly when the fraction of target items exceeds 1/4, where the phase plays a significant role. Therefore, we use multiple phases to complement each other. We obtain three useful properties and an important theorem of the success probability and design a systematic solution of the optimal phases for an arbitrary number of phases. Based on these results, we finally propose a multi-phase quantum search algorithm whose success probability rises with the increase of the number of phases with just a single iteration, and it tends to be 100% when the fraction of target items is over a lower limit.