This paper initiates the study of quantum computing within the constraints of using a polylogarithmic (O(log k n), k \ 1) number of qubits and a polylogarithmic number of computation steps. The current research in the literature has focussed on using a polynomial number of qubits. A new mathematical
Quantum cellular neural networks
โ Scribed by Geza Toth; Craig S. Lent; P.Douglas Tougaw; Yuriy Brazhnik; Weiwen Weng; Wolfgang Porod; Ruey-Wen Liu; Yih-Fang Huang
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 145 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0749-6036
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โฆ Synopsis
We have previously proposed a way of using coupled quantum dots to construct digital computing elements-quantum-dot cellular automata. Here we consider a different approach to using coupled quantum-dot cells in an architecture which, rather than reproducing Boolean logic, uses a physical near-neighbor connectivity to construct an analog cellular neural network.
๐ SIMILAR VOLUMES
In this paper a synthesis procedure for heteroassociative memories using Cellular Neural Networks (CNNs) is presented. The suggested method, by assuring the condition of symmetry of the interconnection matrix, guarantees the complete stability of the designed network, besides providing that all the
## Abstract A method is proposed for solving the two key problems facing quantum neural networks: introduction of nonlinearity in the neuron operation and efficient use of quantum superposition in the learning algorithm. The former is indirectly solved by using suitable Boolean functions. The latte