04193nam a22005895i 4500 978-3-031-59318-5 DE-He213 20251030112309.0 cr nn 008mamaa 240612s2024 sz | s |||| 0|eng d 9783031593185 978-3-031-59318-5 10.1007/978-3-031-59318-5 doi TA329-348 TA345-345.5 TBJ bicssc TEC009000 bisacsh TBJ thema Quantum Computing: Applications and Challenges [electronic resource] / edited by Habiba Drias, Farouk Yalaoui. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 209 p. 66 illus., 56 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Information Systems Engineering and Management, 3004-9598 ; 2 Chapter 1. An Overview of Quantum Key Agreement Protocols -- Chapter 2. Variational Circuit based Hybrid Quantum-Classical Algorithm VC-HQCA -- Chapter 3 Quantum computing in Non Destructive Testing of Materials -- Chapter 4. Enhanced Gaussian Quantum Particle Swarm Optimization for the Clustering of Biomedical Data -- Chapter 5. Quantum Inspired Grey Wolf Optimizer for Convolutional Neural Network Hyperparameter Optimization -- Chapter 6. Frequent itemsets mining using new quantum inspired elephant swarm algorithm -- Chapter 7. Quantum Slime Mould Algorithm and application to urgent transportation -- Chapter 9. Quantum FP-Growth for Association Rules Mining -- Chapter 10 Gaussian Quantum-behaved PSO strategy for Lithium Battery model optimization -- Chapter 11. Quantum Recurrent Neural Networks for Soil Profiles Prediction in Türkiye -- Chapter 12. Q-CODA: Co-Designing Quantum Codes and Architectures for Hardware-Aware Quantum Error Correction -- Chapter 13. Quantum Computing for Computer Vision: Applications, Challenges, and Research Tracks -- Chapter 14. A multiparty efficient semi-quantum secret sharing protocol of specific bits -- Chapter 15. Quantum Convolution for Convolutional Neural Networks -- Chapter 16. A Quantum-Inspired Deep Learning Models for Skin Lesion Classification. This book is intended for academics, researchers, Ph.D. students, and industrials to learn about quantum computing and prepare them to understand the future with its cutting-edge tools. Quantum computing holds great promise in terms of human life quality especially when combined with artificial intelligence. In addition to quantum computing, the book focuses on quantum artificial intelligence, quantum machine and deep learning, quantum cryptography, and quantum logistics optimization. Applications in weather forecasting, digital soil mapping, skin lesion classification, combinatorial optimization, and urgent transportation, among others, are presented. . Engineering mathematics. 64145 Engineering Data processing. Quantum computers. 65955 Quantum physics. 66608 Mathematical and Computational Engineering Applications. Quantum Computing. 64754 Quantum Physics. 66608 Drias, Habiba. editor. edt http://id.loc.gov/vocabulary/relators/edt 78607 Yalaoui, Farouk. editor. edt http://id.loc.gov/vocabulary/relators/edt 78608 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031593178 Printed edition: 9783031593192 Printed edition: 9783031602757 Printed edition: 9783031602740 Information Systems Engineering and Management, 3004-9598 ; 2 78463 https://doi.org/10.1007/978-3-031-59318-5 ZDB-2-ENG ZDB-2-SXE 60687 60687