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Quantum Machine Intelligence


About the Series

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.

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Hybrid Computational Intelligent Systems Modeling, Simulation and Optimization

Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization

1st Edition

Forthcoming

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 ...

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