中国物理B ›› 2006, Vol. 15 ›› Issue (12): 3039-3043.doi: 10.1088/1009-1963/15/12/044
周正威1, 郭光灿1, 庞朝阳2
Pang Chao-Yang (庞朝阳)a)b)†, Zhou Zheng-Wei(周正威)a)‡, and Guo Guang-Can(郭光灿)a)‡
摘要: Many classical encoding algorithms of vector quantization (VQ) of image compression that can obtain global optimal solution have computational complexity O(N). A pure quantum VQ encoding algorithm with probability of success near 100% has been proposed, that performs operations 45\sqrt{N} times approximately. In this paper, a hybrid quantum VQ encoding algorithm between the classical method and the quantum algorithm is presented. The number of its operations is less than \sqrt{N} for most images, and it is more efficient than the pure quantum algorithm.
中图分类号: (Quantum computation architectures and implementations)