聚类问题的混合量子退火算法
Hybrid Quantum Annealing for Clustering Problems
摘要：
我们发展了一种混合型的量子退火，在其中我们同时控制温度和量子场。我们研究了量子退火的效率，并找到了一个很好的改变热涨落和量子涨落的时间表。聚类问题是信息科学与工程中的一个重要课题。我们得到了更好的解决方案的聚类问题比标准的模拟退火提出量子退火。
英文摘要：
We develop a hybrid type of quantum annealing in which we control temperature and quantum field simultaneously. We study the efficiency of proposed quantum annealing and find a good schedule of changing thermal fluctuation and quantum fluctuation. In this paper, we focus on clustering problems which are important topics in information science and engineering. We obtain the better solution of the clustering problem than the standard simulated annealing by proposed quantum annealing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
