Multilevel Quantum Metaheuristics

Name: Multilevel Quantum Metaheuristics
Price: 200 USD
Availability: InStock
ISBN: 9780443331367

Applications in Data Exploration

by Siddhartha Bhattacharyya, Hiranmoy Roy, Jan Platos, Leo Mršić, Balamurugan Balusamy

1st Edition

Publisher: Academic Press

(0 reviews)

Compare Prices

VitalSourceLifetime Access$200.00 AmazonKindle$190.00 Best PriceeTextShelfPDF$38.00

Book Details

Print ISBN	9780443331367
eText ISBN	9780443331374
Publisher	Academic Press
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	476

Multilevel Quantum Metaheuristics: Applications in Data Exploration, 1st Edition, presents research on hybrid quantum-inspired algorithms that combine quantum mechanics principles with metaheuristic techniques. Edited by Siddhartha Bhattacharyya, Hiranmoy Roy, Jan Platos, Leo Mršić, and Balamurugan Balusamy, this Academic Press volume details computational strategies for complex analytical problems.

The text focuses on multilevel quantum systems characterized by qudits and higher-level quantum states. It outlines algorithmic designs structured for function optimization, data analysis, scheduling, and signal processing.

Published in 2026, this 476-page work targets graduate students, researchers, and working professionals across intelligent computing, quantum computing, and data processing fields.

Chapter 1: Multilevel Quantum Metaheuristics: Fundamentals and Applications
Chapter 2: Multilevel Quantum Metaheuristics and Their Role in Data-Intensive Applications
Chapter 3: Beyond Qubits: Exploring Molecular Spin Qudits for Advanced Quantum Computing
Chapter 4: Neural Architecture Search Using a Quantum Genetic Algorithm for Image Classification
Chapter 5: Revolutionizing Network Optimization: Enhancing Efficiency and Performance through Quantum Computing and Hybrid Quantum-Classical Approaches
Chapter 6: Automated Cluster Number Detection in Hyperspectral Images Using a Qutrit Flower Pollination Algorithm
Chapter 7: Multi objective portfolio optimization using multilevel quantum-inspired optimization algorithms: A comparative study
Chapter 8: A Comprehensive Performance Analysis of the Quantum-Inspired Genetic Algorithm for Image Segmentation
Chapter 9: Quantum-Inspired Metaheuristics for Drug Design and Discovery
Chapter 10: Application of Quantum Metaheuristics Techniques in Data Exploration for IoT Environment
Chapter 11: Task Allocation and Scheduling
Chapter 12: Image Processing and Signalling in Multilevel Quantum Metaheuristics
Chapter 13: AQIMLQC : A Framework for Advancing Air Quality Prediction using Quantum-Inspired Metaheuristics on Climate Change to achieve positive health
Chapter 14: Quantum Approaches to Task Allocation and Scheduling: Enhancing Efficiency and Optimisation in Distributed Systems
Chapter 15: Multilevel Quantum Metaheuristics: Concluding Remarks and Future Directions of Research