This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

Quantum Machine Learning is gaining prominence with the advent of real quantum
processors. The quantum analogue of one of the most important and popular model of …

Artificial intelligence has become an important tool in fight against COVID-19. Machine
learning models for COVID-19 global pandemic predictions have shown a higher accuracy …

We investigate a quantum neural network and discuss its application to controlling systems.
First, we consider a multi-layer quantum neural network that uses qubit neurons as its …

In this work a quantum-inspired hybrid methodology is proposed to overcome the random
walk dilemma for financial time series prediction. It consists of a hybrid model composed of a …

There are numerous models of quantum neural networks that have been applied to
variegated problems such as image classification, pattern recognition etc. Quantum inspired …

This paper investigates a quantum neural network and discusses its application in control
systems. A learning-type neural network-based controller that uses a multi-layer quantum …

In this work we present the robust automatic phase-adjustment (RAA) method to overcome
the random walk dilemma for financial time series forecasting. It consists of a hybrid model …

In this paper, the signal recognition by using quantum neural network (QNN) is studied and
simulated. The signals with fuzziness distributed in the boundary of two different types of …

The problem of image restoration in presence of blur and noise has been a very important
problem in the domain of digital image processing and computer vision. A quantum inspired …