Quantum Neural Computation

Subhash C. Kak

LV Qiu-xia

The quantum neural computation is e burgeoning new technical theory,which combines quantum computation with classical neural computation.in the paper introduced the quantum neural computation the newest research directions,simply has discussed the quantum neural computation related several questions,finally summarized the quantum neural computation several superiority.

Guangjun Xie

Through the comparison between the quantum computation and the neural computation,a new technology called quantum neural computation is presented.A generalized quantum Hebb learning algorithm,a quantum neural network model based on the double-slit interference experiment,and a quantum Hamming competitive learning algorithm are discussed;at the same time some essential characters of the quantum neural computation are also revealed.

Subhash C. Kak

Sitakanta Nayak, Shaktikanta Nayak, J. P. Singh

Guangjun Xie

Quantum neural computation is a new paradigm based on the combination of classical neural computation and quantum computation,and it has the value for theoretic study and the potential of application. In this paper, the intrinsic relationship between the two computational paradigms has been discussed,and several solutions of the quantum neural network models are also presented.