Title :
Artificial neural network implementation using many-valued quantum computing
Author :
Al-Rabadi, A.N. ; Lendaris, George G.
Author_Institution :
Portland State Univ., OR, USA
Abstract :
Neural network (NN) implementation using the general scheme of many-valued (MV) quantum computing (QC) is presented in this paper. The proposed method uses the many-valued orthonormal computational basis states to implement such computations. Physical implementation of NNQC is performed by controlling the potential to yield specific wavefunction as a result of solving Shrodinger´s equation that governs the dynamics of QC.
Keywords :
neural nets; quantum computing; Shrodinger equation; artificial neural network implementation; many-valued orthonorinal computational basis states; many-valued quantum computing; wavefunction; Artificial neural networks; Computer networks; Grid computing; Logic gates; Neural networks; Physics computing; Quantum computing; Quantum entanglement; Quantum mechanics; Schrodinger equation;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1224069
