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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

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

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