Probe Machine

doi:10.1109/TNNLS.2016.2555845

CORC > 北京大学 > 信息科学技术学院

	Probe Machine
	Xu, Jin
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2016
关键词	Mathematical model nano-DNA neural networks probe machine (PM) turing machine (TM) QUANTUM COMPUTATION DNA DESIGN MODEL
DOI	10.1109/TNNLS.2016.2555845
英文摘要	In this paper, we present a novel computing model, called probe machine (PM). Unlike the turing machine (TM), PM is a fully parallel computing model in the sense that it can simultaneously process multiple pairs of data, rather than sequentially process every pair of linearly adjacent data. We establish the mathematical model of PM as a nine-tuple consisting of data library, probe library, data controller, probe controller, probe operation, computing platform, detector, true solution storage, and residue collector. We analyze the computation capability of the PM model, and in particular, we show that TM is a special case of PM. We revisit two NP-complete problems, i.e., the graph coloring and Hamilton cycle problems, and devise two algorithms on basis of the established PM model, which can enumerate all solutions to each of these problems by only one probe operation. Furthermore, we show that PM can be implemented by leveraging the nano-DNA probe technologies. The computational power of an electronic computer based on TM is known far more than that of the human brain. A question naturally arises: will a future computer based on PM outperform the human brain in more ways beyond the computational power?; SCI(E); EI; ARTICLE; jxu@pku.edu.cn; 7; 1405-1416; 27
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/492049]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xu, Jin. Probe Machine[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2016.
APA	Xu, Jin.(2016).Probe Machine.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS.
MLA	Xu, Jin."Probe Machine".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016).