Back
 OJAppS  Vol.5 No.6 , June 2015
Quantum-Inspired Neural Networks with Application
Abstract: In this paper, a novel neural network is proposed based on quantum rotation gate and controlled- NOT gate. Both the input layer and the hide layer are quantum-inspired neurons. The input is given by qubits, and the output is the probability of qubit in the state . By employing the gradient descent method, a training algorithm is introduced. The experimental results show that this model is superior to the common BP networks.
Cite this paper: Li, J. (2015) Quantum-Inspired Neural Networks with Application. Open Journal of Applied Sciences, 5, 233-239. doi: 10.4236/ojapps.2015.56024.
References

[1]   Shor, P.W. (1994) Algorithms for Quantum Computation: Discrete Logarithms and Factoring. 35th Annual Symposium on Foundations of Computer Science, New Mexico, 20-22 November 1994, 124-134. http://dx.doi.org/10.1109/SFCS.1994.365700

[2]   Grover, L.K. (1996) A Fast Quantum Mechanical Algorithm for Database Search. Proceedings of the 28th Annual ACM Symposium on the Theory of Computing, Pennsylvania, 212-221.
http://dx.doi.org/10.1145/237814.237866

[3]   Perus, M. (1996) Neuro-Quantum Parallelism in Brain-Mind and Computers. Informatics, 20, 173-183.

[4]   Adenilton, J., Wilson, R. and Teresa, B. (2012) Classical and Superposed Learning for Quantum Weightless Neural Network. Neurocomputing, 75, 52-60.
http://dx.doi.org/10.1016/j.neucom.2011.03.055

[5]   Israel, G.C., Angel, G.C. and Belen, R.M. (2011) Dealing with Limited Data in Ballistic Impact Scenarios: An Empirical Comparison of Different Neural Network Approaches. Application Intelligence, 35, 89-109. http://dx.doi.org/10.1007/s10489-009-0205-8

[6]   Kak, S. (1995) On Quantum Neural Computing. Information Sciences, 19, 143-160.
http://dx.doi.org/10.1016/0020-0255(94)00095-S

[7]   Zhu, D.Q. and Sang, Q.B. (2006) A Fault Diagnosis Algorithm for the Photovoltaic Radar Electronic Equipment Based on Quantum Neural Networks. Acta Electronica Sinica, 34, 573-576.

[8]   Matsui, N., Kouda, N. and Nishimura, H. (2000) Neural Networks Based on QBP and Its Performance. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 3, 247-252.
http://dx.doi.org/10.1109/ijcnn.2000.861311

 
 
Top