Cognitive Engineering for Next Generation Computing

10Quantum Meta-Heuristics and Applications

Kolla Bhanu Prakash

A.I. & Data Science Research Group, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, A.P, India

Abstract

Meta-heuristics has various optimization models which resolve various critical problems in an optimal way. The idea of using the principle of quantum computing to solve the problems of classical computers is better because of their metaheuristic methods that achieve optimal solutions in less time.

This chapter aims to give details regarding current research trends of quantum-inspired meta-heuristics and its applications for feature extraction, signal coding, speech synthesis, speech recognition, on chip intra-system quantum entangled states generator, noise resilience, photonic quantum computing, communications, polar encoding and decoding, cascade semantic fusion for image captioning.

Drug design, cyber security, deep machine learning, code breaking and financial portfolio estimation are some other key applications to look for where quantum meta-heuristics will play a vital role.

Keywords: Quantum computing, meta-heuristics, quantum meta-heuristics inspired algorithms, challenges and applications

10.1 Introduction

In the 1980s, Feynman [1] and Manin [2], expressed the idea of quantum computing, based on Quantum mechanics. A Quantum Computer (QC) is different from a conventional computer. Quantum computers are capable of delivering more than the classical machines. A QC may be physically implemented ...