Neural Structures Using the Eigenstates of a Quantum Harmonic Oscillator
Open Systems & Information Dynamics
Neurodynamics and attractors in quantum associative memories
Integrated Computer-Aided Engineering
Cooperative behavior of nano-robots as an analogous of the quantum harmonic oscillator
Annals of Mathematics and Artificial Intelligence
Fuzzy automata and neural associative memories compatible with principles of quantum computation
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Neural Processing Letters
Feed-Forward neural networks using hermite polynomial activation functions
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Gradient-based feedback control of quantum systems
Optical Memory and Neural Networks
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Quantum computation is proposed for the parallelization of a fuzzy logic control (FLC) algorithm. Quantum computation speeds up the fuzzy inference since serial operations between matrices of large dimensionality are now replaced by a one-step quantum addition or a quantum subtraction. The unitarity properties of the algorithm prove that the FLC stands for a simulator of a quantum computing machine.