量子机器学习
软件
领域(数学)
量子计算机
计算机科学
量子
人工智能
计算机工程
物理
程序设计语言
数学
量子力学
纯数学
作者
Jacob Biamonte,Péter Wittek,Nicola Pancotti,Patrick Rebentrost,Nathan Wiebe,Seth Lloyd
出处
期刊:Nature
[Nature Portfolio]
日期:2017-09-01
卷期号:549 (7671): 195-202
被引量:3129
摘要
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Since quantum systems produce counter-intuitive patterns believed not to be efficiently produced by classical systems, it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement concrete quantum software that offers such advantages. Recent work has made clear that the hardware and software challenges are still considerable but has also opened paths towards solutions.
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