Parallelization of a fuzzy control algorithm using quantum computation

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2002-08, Vol.10 (4), p.451-460
Main Authors: Rigatos, G.G., Tzafestas, S.G.
Format: Article
Language:English
Subjects:
Algorithms
Automatic control
Computation
Computational modeling
Concurrent computing
Fuzzy
Fuzzy control
Fuzzy logic
Fuzzy systems
Hilbert space
Inference
Inference algorithms
Learning automata
Parallel processing
Quantum computing
Quantum mechanics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2002.800690