摘要
量子计算以其独特的计算性能引起广泛瞩目,人们越来越多地探讨它与传统计算模式的结合.研究以通用量子逻辑门组(即相移门和受控非门)作为计算基函数,构造新的量子神经计算网络模型.仿真结果显示,就算例而言,该量子神经计算网络的性能优于传统的神经网络.
Quantum computation is well known for its particular computational performance. A novel quantum neural computational model is constructed based on the universal quantum gates unit (i.e. phase-shift gate and controlled-NOT gate), which acts as the basic computational component. The simulation result shows that the quantum neuron network is superior to classical BP and RBF network for the financial data analysis example.
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
2004年第5期700-703,共4页
Journal of Fudan University：Natural Science
基金
国家自然科学基金资助项目(60302014)
安徽省自然科学基金资助项目(03042202)
