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arXiv 1602.07796cs.CC
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探测机器

Probe Machine

Jin Xu

摘要:

本文提出了一种新的计算模型--\emph{Probe Machine}。与图灵机不同的是,探针机是一种完全并行的计算模型,它可以同时处理多对数据,而不是顺序处理每对线性相邻的数据。本文将探针机的数学模型建立为一个由数据库、探针库、数据控制器、探针控制器、探针操作、计算平台、检测器、真解存储器和残数收集器组成的9元组。分析了探针机模型的计算能力,特别指出了图灵机是探针机模型的一个特例。我们重新讨论两个NP完全问题-即,图的图着色和Hamilton圈问题,并在建立的探针机模型的基础上设计了两个算法,该算法只需一次探针操作就能枚举出每一个问题的所有解。此外,我们表明,探针机可以实现利用纳米DNA探针技术。基于图灵机的电子计算机的计算能力远比人脑的计算能力为人所知。一个问题自然而然地出现了:未来基于Probe Machine的计算机是否会在计算能力之外的更多方面超越人脑?

英文摘要:

A novel computing model, called \emph{Probe Machine}, is proposed in this paper. Different from Turing Machine, Probe Machine 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. In this paper, we establish the mathematical model of Probe Machine as a 9-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 Probe Machine model, and in particular we show that Turing Machine is a special case of Probe Machine. We revisit two NP-complete problems---i.e., the Graph Coloring and Hamilton Cycle problems, and devise two algorithms on basis of the established Probe Machine model, which can enumerate all solutions to each of these problems by only one probe operation. Furthermore, we show that Probe Machine can be implemented by leveraging the nano-DNA probe technologies. The computational power of an electronic computer based on Turing Machine is known far more than that of the human brain. A question naturally arises: will a future computer based on Probe Machine outperform the human brain in more ways beyond the computational power?

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。

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