Artificial Intelligence Review

, Volume 42, Issue 1, pp 79–156 | Cite as

Applications of quantum inspired computational intelligence: a survey

Article

Abstract

This paper makes an exhaustive survey of various applications of Quantum inspired computational intelligence (QCI) techniques proposed till date. Definition, categorization and motivation for QCI techniques are stated clearly. Major Drawbacks and challenges are discussed. The significance of this work is that it presents an overview on applications of QCI in solving various problems in engineering, which will be very much useful for researchers on Quantum computing in exploring this upcoming and young discipline.

Keywords

Quantum computing Quantum mechanics Computational intelligence 

Abbreviations

ANFIS

Adaptive neuron-fuzzy inference system

AQM

Adaptive quantum mutation

ASVR

Adaptive support vector regression

ACO

Ant colony optimization

AF

Artificial fish

AFSA

Artificial fish swarm algorithm

AI

Artificial intelligence

BP

Back propagation

BPNN

Back-propagation NN

BWGC

BPNN-weighted grey-C3LSP

CS

Clonal selection

CGPQGA

Coarse-grained parallel QGA

CI

Computational intelligence

CET

Contemporary evolution target

DE

Differential evolution

DPSO

Discrete binary version of PSO

EDAs

Estimation of distribution algorithms

EA

Evolutionary algorithms

EC

Evolutionary computation

FQN

Feedback QN

FCM

Fuzzy C-means

FS

Fuzzy system

GA

Genetic algorithm

GD

Gradient descent

HNN

Hamiltonian NN

Hop.NN

Hopfield NN

ICA

Immune clonal algorithm

IS

Immune systems

IMSCQGA

Improved mutative scale chaos QGA

iPNN

Integrative probabilistic evolving spiking NNs

IS

Intelligent systems

K-SOFM

Kohonen’s self-organizing feature map

LSQET

Logarithmic search with quantum existence testing

MP

Matching pursuit

ME

Multi-granularity evolution

MLP

Multilayer perceptron

NN

Neural network

NQASVR

Neuromorphic quantum-based adaptive support vector regression

NGARCH

Nonlinear generalized autoregressive conditional heteroscedasticity

NQGA

Novel QGA

PSO

Particle swarm optimization

pSNM

Probabilistic spiking neuron model

QoS

Quality of service

QAM

Quantum associative memory

Q bit

Quantum bit

QBP

Quantum BP

QCEA

Quantum clone EA

Qu.Cl

Quantum clustering

QCBPN

Quantum complex-valued BP neuron

Qcomputer

Quantum computer

QC

Quantum computing

QEP

Quantum evolutionary programming

QFSM

Quantum finite state machines

Qgate

Quantum gate

QACO

Quantum inspired ACO

QAFSA

Quantum Inspired artificial fish swarm algorithm

QCI

Quantum inspired computational intelligence

QEA

Quantum inspired EA

QGA

Quantum inspired genetic algorithm

QNN

Quantum inspired neural network

QPSO

Quantum inspired PSO

QM

Quantum mechanics

QMin.

Quantum minimization

QN

Quantum neuron

QDE

Quantum-inspired DE

QEAs

Quantum-inspired evolutionary algorithms

QISOM

Quantum-inspired self-organizing map

QiSNN

Quantum-inspired spiking NN

QT-BPNN

Quantum-tuned BPNN

RBFNN

Radial basis function NN

RQGA

Real-coded QGA

RNN

Recurrent NN

SOM

Self-organizing map

SVMs

Support vector machines

SA

Swarm algorithm

vQEA

Versatile QEA

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Electronics and Computer EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia

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