Artificial Neural Network Implementation Using Many-Valued Quantum Computing
Published In
Proceedings of the International Joint Conference on Neural Networks
Document Type
Citation
Publication Date
10-2-2003
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.
Locate the Document
https://doi.org/10.1109/IJCNN.2003.1224069
DOI
10.1109/IJCNN.2003.1224069
Persistent Identifier
https://archives.pdx.edu/ds/psu/37275
Citation Details
Al-Rabadi, Anas N. and Lendaris, George G., "Artificial Neural Network Implementation Using Many-Valued Quantum Computing" (2003). Systems Science Faculty Publications and Presentations. 198.
https://archives.pdx.edu/ds/psu/37275