Quantum neural networks

被引：70

作者：

Ezhov, AA ^{[1
]}

Ventura, D ^{[1
]}

机构：

[1] Russian Acad Sci, Troitsk Inst Innovat & Fus Res, Dept Math, Troitsk 142092, Moscow Region, Russia

来源：

FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES | 2000年 / 45卷

关键词：

quantum neural networks; associative memory; entanglement; many universes interpretation;

D O I：

10.1007/978-3-7908-1856-7_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This chapter outlines the research, development and perspectives of quantum neural networks - a burgeoning new field which integrates classical neurocomputing with quantum computation [I]. It is argued that the study of quantum neural networks may give us both new understanding of brain function as well as unprecedented possibilities in creating new systems for information processing, including solving classically intractable problems, associative memory with exponential capacity and possibly overcoming the limitations posed by the Church-Turing thesis.

引用

页码：213 / 235

页数：23

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