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Real World Applications Of Quantum Computers And Machine Intelligence


Real World Applications Of Quantum Computers And Machine Intelligence
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Real World Applications Of Quantum Computers And Machine Intelligence


Real World Applications Of Quantum Computers And Machine Intelligence
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Author : Ananth, Christo
language : en
Publisher: IGI Global
Release Date : 2024-12-27

Real World Applications Of Quantum Computers And Machine Intelligence written by Ananth, Christo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.


The emergence of quantum computing promises a monumental shift in technological capabilities, poised to revolutionize various fields where traditional computing methods may fall short. Quantum computing's potential spans a wide spectrum of applications, from enhancing cryptography to revolutionizing climate modeling and drug discovery. Major corporations are integrating quantum computing into artificial intelligence research, marking a pivotal shift from traditional computing methods. Real-World Applications of Quantum Computers and Machine Intelligence explores practical examples in quantum computing and machine learning for various industry revolutions. By contrasting quantum computing with conventional data mining systems, this book offers insights into the transformative potential of quantum computing, enabling the development of new techniques for real-time problem-solving and innovation. This book covers topics such as deep neural networks, environmental technologies, and machine learning, and is a useful resource for computer engineers, industry professionals, researchers, academicians, scientists, business owners, and healthcare workers.



Real World Applications Of Quantum Computers And Machine Intelligence


Real World Applications Of Quantum Computers And Machine Intelligence
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Author : Christo Ananth
language : en
Publisher:
Release Date : 2024

Real World Applications Of Quantum Computers And Machine Intelligence written by Christo Ananth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.




Supervised Learning With Quantum Computers


Supervised Learning With Quantum Computers
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Author : Maria Schuld
language : en
Publisher: Springer
Release Date : 2018-08-30

Supervised Learning With Quantum Computers written by Maria Schuld and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Science categories.


Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.



Quantum Computing Solutions


Quantum Computing Solutions
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Author : Bhagvan Kommadi
language : en
Publisher:
Release Date : 2020

Quantum Computing Solutions written by Bhagvan Kommadi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Electronic books categories.


Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle. Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail. The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals. You will: Understand the mathematics behind quantum computing Know the solution benefits, such as automation, cost reduction, and efficiencies Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines Use AI algorithms, including probability, walks, search, deep learning, and parallelism.



Applications And Principles Of Quantum Computing


Applications And Principles Of Quantum Computing
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-01-31

Applications And Principles Of Quantum Computing written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Science categories.


In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.



Machine Learning With Quantum Computers


Machine Learning With Quantum Computers
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Author : Maria Schuld
language : en
Publisher: Springer Nature
Release Date : 2021-10-17

Machine Learning With Quantum Computers written by Maria Schuld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-17 with Science categories.


This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.



Neural Information Processing


Neural Information Processing
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Author : Mufti Mahmud
language : en
Publisher: Springer Nature
Release Date : 2025-07-25

Neural Information Processing written by Mufti Mahmud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.


The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.



Future Research Opportunities For Artificial Intelligence In Industry 4 0 And 5 0


Future Research Opportunities For Artificial Intelligence In Industry 4 0 And 5 0
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14

Future Research Opportunities For Artificial Intelligence In Industry 4 0 And 5 0 written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.


Artificial intelligence (AI), machine learning (ML) and other emerging technologies such as cloud, edge and quantum computing are converging to rewrite the landscape of modern industries and society as a whole. Comprehensive in scope, the book offers a detailed account of these inter-related domains current trends and future possibilities. Chapter 1: We begin by setting the stage with an overview on various trends, problems proposed to solve and road ahead provided by AI, Machine Learning and Deep learning from cloud, edge and quantum computing perspectives. The same is a comprehensive summary to provide perspective on the implications as one continuous stream of technology. It then discusses scalable and adaptive deep learning algorithms, which work in modern machine learning systems where there is a deluge of data. These algorithms sufficiently prepare AI technologies to face the challenges of increasing data as well as expansion of computational capabilities. Chapter three is Federated learning for Edge AI further makes privacy / personalization and security stronger. The amalgamation of blockchain emphasizes the robust and distributed nature of edge intelligence in modern IoT ecosystems. One of the most pressing issues in today's ethical landscape is that of Explainable Artificial Intelligence (XAI), and so the fourth chapter deals with some recent advances in explaining black-box models, providing a way to better understand -and thus potentially trust- AI-driven decision-making processes. This study explores the application of Automated Machine Learning (AutoML) in the contexts of Industry 4.0 and Society 5.0 giving insights on how automation can bring efficiency and innovation in different sectors. It also presents information on the challenges and opportunities that AutoML faces. In conclusion, the book discusses Artificial General Intelligence (AGI), which is a new topic that presents an ambitious view of what AI may be capable of in the future and some points to digest over how the concept might relate to our understanding on what industry may look like in the next stage of human evolution. Individually, these chapters offer a slice of the overall picture of where AI technologies are headed to keep pace with an advancing world.



Quantum Computing


Quantum Computing
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024

Quantum Computing written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.


🌟 Explore the Future with the "Quantum Computing: Computer Science, Physics, and Mathematics" Book Bundle! 🌟 Are you ready to unlock the secrets of quantum computing and delve into the multidisciplinary world of computer science, physics, and mathematics? Look no further! Our exclusive bundle, consisting of four captivating books, is your ticket to the quantum frontier. 📚 Book 1: "Quantum Computing Demystified: A Beginner's Guide" 📚 Are you new to quantum computing? This beginner's guide will unravel the complex concepts and lay the foundation for your quantum journey. Dive into qubits, superposition, and quantum algorithms, and embark on a transformative exploration of quantum computing's limitless possibilities. 📚 Book 2: "Mastering Quantum Computing: A Comprehensive Guide for Intermediate Learners" 📚 Ready to take the next step? This comprehensive guide is tailored for intermediate learners, providing in-depth insights into advanced topics, quantum programming, and algorithm design. Elevate your skills and become a quantum computing virtuoso. 📚 Book 3: "Advanced Quantum Computing: Exploring the Frontiers of Computer Science, Physics, and Mathematics" 📚 Step into the cutting-edge world of quantum computing's frontiers. Delve into quantum error correction, cryptography, and simulations, and discover the complex challenges and captivating possibilities that await at the forefront of this transformative technology. 📚 Book 4: "Quantum Computing: A Multidisciplinary Approach for Experts" 📚 Quantum computing transcends disciplines, and this book proves it. Explore its multifaceted applications in computer science, physics, mathematics, and beyond. Recognize its potential to reshape industries and address global challenges. This book is a must-read for experts and visionaries. ✨ Why Choose This Bundle? ✨ 🚀 Comprehensive Learning: Our bundle offers a 360-degree view of quantum computing, catering to beginners and experts alike. 🎓 Multidisciplinary Insights: Explore the intersections of computer science, physics, mathematics, and quantum computing for innovative perspectives. 💡 Future-Ready: Quantum computing is at the forefront of technology. Equip yourself with the skills and knowledge that will shape the future. 📖 In-Depth Exploration: Dive deep into quantum mechanics, algorithms, error correction, and applications, unraveling the complexities along the way. 🌌 The quantum frontier awaits your exploration. This bundle is your key to unlocking the boundless potential of quantum computing while understanding its multidisciplinary impact. 🌟 Don't miss this opportunity to embark on a transformative journey into the future of technology! 🌟 Secure your "Quantum Computing: Computer Science, Physics, and Mathematics" book bundle today and prepare to be amazed by the endless possibilities of quantum computing. Elevate your skills, expand your knowledge, and become a quantum trailblazer! 🚀 Grab this bundle now and step into the quantum realm, where the future of computing, science, and mathematics converges! 🚀



Exploring The Fusion Of Quantum Computing And Machine Learning


Exploring The Fusion Of Quantum Computing And Machine Learning
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Author : R.I., Minu
language : en
Publisher: IGI Global
Release Date : 2025-04-17

Exploring The Fusion Of Quantum Computing And Machine Learning written by R.I., Minu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.


The fusion of quantum computing and machine learning holds the potential to revolutionize how we solve complex problems. Quantum computing, with its ability to process vast amounts of data through the principles of quantum mechanics, could accelerate machine learning algorithms, enabling faster and more efficient pattern recognition, optimization, and decision-making. This convergence helps overcome limitations faced by classical computing in fields like artificial intelligence, drug discovery, cryptography, and more. As researchers continue to explore this fusion, the potential applications of quantum-enhanced machine learning increase, opening new possibilities for innovation and problem-solving across industries. Exploring the Fusion of Quantum Computing and Machine Learning explores the revolutionary fusion of quantum computing and machine learning. It examines practical applications, demonstrating how the integration of quantum computing and machine learning algorithms can reveal new solutions for complex problems, paving the way for advancements in various fields. This book covers topics such as neural networks, online marketing, and quantum systems, and is a useful resource for computer engineers, energy scientists, marketers, business owners, medical professionals, academicians, and researchers.