Quantum computation, quantum theory and AI

被引：59

作者：

Ying, Mingsheng ^{[1
,2
]}

机构：

[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia

[2] Tsinghua Univ, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Dept Comp Sci & Technol, Beijing, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE | 2010年 / 174卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Quantum computation; Quantum theory; Search; Learning; Discrimination and recognition; Bayesian network; Semantic analysis; Communication; UNAMBIGUOUS DISCRIMINATION; LOGIC; AUTOMATA; MODEL; ARCHITECTURE; ALGORITHMS; GAMES;

D O I：

10.1016/j.artint.2009.11.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main purpose of this paper is to examine some (potential) applications of quantum computation in AI and to review the interplay between quantum theory and AI. For the readers who are not familiar with quantum computation, a brief introduction to it is provided, and a famous but simple quantum algorithm is introduced so that they can appreciate the power of quantum computation. Also, a (quite personal) survey of quantum computation is presented in order to give the readers a (unbalanced) panorama of the field. The author hopes that this paper will be a useful map for AI researchers who are going to explore further and deeper connections between AI and quantum computation as well as quantum theory although some parts of the map are very rough and other parts are empty, and waiting for the readers to fill in. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：162 / 176

页数：15

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