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Advances in quantum inspired artificial intelligence = techniques and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in quantum inspired artificial intelligence/ edited by Satchidananda Dehuri ... [et al.].
Reminder of title:	techniques and applications /
other author:	Dehuri, Satchidananda.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 237 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Quantum computing. -
Online resource:	https://doi.org/10.1007/978-3-031-89905-8
ISBN:	9783031899058

Advances in quantum inspired artificial intelligence = techniques and applications /
Advances in quantum inspired artificial intelligencetechniques and applications /[electronic resource] :edited by Satchidananda Dehuri ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 237 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 2741868-4408 ;. - Intelligent systems reference library ;v. 274..

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.

This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, artificial intelligence (AI) has been on a trajectory of rapid advancement, with deep learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution.

ISBN: 9783031899058

Standard No.: 10.1007/978-3-031-89905-8doiSubjects--Topical Terms:

2115803
Quantum computing.

LC Class. No.: QA76.889

Dewey Class. No.: 006.3843

Advances in quantum inspired artificial intelligence = techniques and applications /
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245 0 0 $a Advances in quantum inspired artificial intelligence $h [electronic resource] : $b techniques and applications / $c edited by Satchidananda Dehuri ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xv, 237 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 274
505 0 $a 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.
520 $a This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, artificial intelligence (AI) has been on a trajectory of rapid advancement, with deep learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution.
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650 2 4 $a Big Data. $3 3134868
700 1 $a Dehuri, Satchidananda. $3 901251
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