The objective of this series is to discuss the foundations of quantum computational intelligence, the development of robust and efficient quantum intelligent systems, design and implementation of resilient quantum intelligent algorithms, and the application of all these subfields to important difficult problems. Some of the emerging application areas include signal processing, bioinformatics, big data analytics and portfolio management.
Edited
By Siddhartha Bhattacharyya, Ivan Cruz-Aceves, Arpan Deyasi, Pampa Debnath, Rajarshi Mahapatra
May 09, 2024
The book discusses the foundations of intelligent quantum information processing applied to several real-life engineering problems, including intelligent quantum systems, intelligent quantum communication, intelligent process optimization, and intelligent quantum distributed networks. This book: • ...
Edited
By Siddhartha Bhattacharyya
May 03, 2023
Hybrid Computational Intelligent Systems – Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel ...
Edited
By Siddhartha Bhattacharyya, Mario Köppen, Elizabeth Behrman, Ivan Cruz-Aceves
May 10, 2022
The reference text introduces the principles of quantum mechanics to evolve hybrid metaheuristics-based optimization techniques useful for real world engineering and scientific problems. The text covers advances and trends in methodological approaches, theoretical studies, mathematical and applied...