Quantum Computing and Deep Learning Working Together to Solve Optimization Problems

被引:1
|
作者
Barabasi, Istvan [1 ]
Tappert, Charles C. [1 ]
Evans, Daniel [1 ]
Leider, Avery M. [1 ]
机构
[1] Pace Univ, Seidenberg Sch CSIS, Pleasantville, NY 10570 USA
关键词
quantum computing; quantum information theory; scientific computing; algorithms and methods; machine learning;
D O I
10.1109/CSCI49370.2019.00095
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper explores the use of quantum computing for solving machine learning problems more efficiently. Today's quantum computers are rather primitive, so only relatively small machine learning problems can be solved at this time. Nevertheless, the machine learning problems described here that have been solved on quantum simulators or actual quantum computers indicates the potential power of quantum computers for solving computationally intensive machine learning problems such as the deep learning multi-layer neural networks.
引用
收藏
页码:493 / 498
页数:6
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