
Quantum Inspired Computational Intelligence
Research and Applications
- 1st Edition - September 15, 2016
- Authors: Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 0 4 4 0 9 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 4 4 3 7 - 7
Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing… Read more

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information.
- Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions
- Includes numerous case studies, tools, and technologies to apply the concepts to real world practice
- Provides the missing link between the research and practice
Academic and corporate researchers in artificial intelligence, computational intelligence, applied computing, data science, data mining, signal processing, pattern recognition, machine learning, and quantum computing
1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation3. Field Computation: A Framework for Quantum Inspired Computing4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks
- Edition: 1
- Published: September 15, 2016
- Language: English
SB
Siddhartha Bhattacharyya
UM
Ujjwal Maulik
PD
Paramartha Dutta
about hundred fifty papers in various journals and conference proceedings, both international and national. Presently, he is supervising four students for their Ph. D program registered with Visva Bharati University and West Bengal University of Technology. Dr. Dutta is a Life Fellow of the Optical Society of India (OSI), Computer Society of India (CSI), Indian Science Congress Association (ISCA), Indian Society for Technical Education (ISTE), Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) - the Indian affiliate of the International Association for Pattern Recognition (IAPR), Senior Member of Associated Computing Machinery (ACM), IEEE Computer Society, USA and IACSIT.