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

Dr. Bhattacharyya [FIEI (I), FIETE, LFOSI, SMIEEE, SMACM, SMIETI, MIET(UK)] is Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. With over 20 years of experience in academics, he has authored/edited more than 50 books and more than 250 research publications in international journals and conference proceedings. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.

1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence 2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation 3. Field Computation: A Framework for Quantum Inspired Computing 4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies 5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture 6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding 7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation 8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis 9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding 10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm 11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk 12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model 13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks