Advances in Quantum Inspired Artificial Intelligence Techniques and Applications /

Dettagli Bibliografici
Ente Autore:	SpringerLink (Online service)
Altri autori:	Dehuri, Satchidananda (Redattore), Jena, Monalisa (Redattore), Chandra Nayak, Sarat (Redattore), Favorskaya, Margarita N. (Redattore), Belciug, Smaranda (Redattore)
Riassunto:	XV, 237 p. 57 illus., 24 illus. in color. text
Lingua:	inglese
Pubblicazione:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:	1st ed. 2025.
Serie:	Intelligent Systems Reference Library, 274
Soggetti:	Computational intelligence. Artificial intelligence. Engineering > Data processing. Big data. Computational Intelligence. Artificial Intelligence. Data Engineering. Big Data.
Accesso online:	https://doi.org/10.1007/978-3-031-89905-8
Natura:	Elettronico Libro

Sommario:

1.Quantum-Enhanced Bioinspired Algorithms: An Overview of Optimization and Learning
2.Decoding Market Dynamics: Variational Quantum Circuit in Stock Prediction
3.Quantum Dot Cellular Automata: Breaking Barriers in Electronics Circuitry for Tomorrow's Technologies
4.Quantum Natural Language Processing: Revolutionizing Language Processing
5.Quantum Machine Learning in Climate Science and Climate Change Solutions
6.Quantum Cloud Computing: Key Technologies, Challenges, and Opportunities
7.Security, Privacy, and Trust in Quantum Edge-driven Intelligence: Challenges and Solutions
8.Quantum-Inspired Aspect-Based Sentiment Analysis Using Natural Language Processing
9.The Applications of Quantum Machine Learning in Today's World
10.Unveiling the Role of Internet of Things (IoT) in the Landscape of Quantum Healthcare Monitoring
11.Quantum Neural Networks: Exploring Quantum Enhancements in Deep Learning.

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