Quantum adiabatic evolution algorithm for a quantum neural network

被引：0
|
作者：
Kinjo, M [1 ]
Sato, S
Nakajima, K
机构：
[1] Japan Sci & Technol Co, PRESTO, Kawaguchi 3320012, Japan
[2] Tohoku Univ, Res Inst Elect Commun, Sendai, Miyagi 9808577, Japan
来源：
ARTIFICIAL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003 | 2003年 / 2714卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new quantum algorithm for solving the combinatorial optimization problems is discussed. It is based on the quantum adiabatic evolution algorithm. We propose a new method for synthesizing a Hamiltonian inspired by a Hopfield network in order to improve calculation cost. The quantum system given by a new Hamiltonian has neuron-like interactions and shows quantum behavior. We present simulation results of the new algorithm for the 4-queen problem.
引用
收藏
页码：951 / 958
页数：8
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