Название: Quantum Computing and Artificial Intelligence: The Industry Use Cases
Автор: Pethuru Raj, B. Sundaravadivazhagan, Mariya Ouaissa, V. Kavitha, K. Shantha Kumari
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 560
Язык: английский
Формат: pdf (true), epub
Размер: 28.3 MB

This book explores the essential role of quantum computing and Artificial Intelligence (AI) in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniques. Through real-world examples, it offers valuable insights on nanomaterials to improve medical solutions.

This book is divided into three sections. The first section examines the fundamentals of quantum computing and its practical applications. The second section explores how quantum computing offers a myriad of opportunities to various industries, transitions between classical and quantum networks, and post-quantum cryptography. The third section further explores the exciting potential of Quantum Machine Learning for Industry 4.0, as well as the applications of quantum computing and AI applications in the emerging Industry 5.0 landscape.

Part 1 of this book explores the fundamentals of quantum computing and its practical applications. We begin with an overview of quantum computers, examining their real-world applications and challenges. From there, we explore the emerging field of post-quantum cryptography, investigating methods to ensure data privacy and security in the quantum computing era. We also delve into the synergies between quantum computing and blockchain technology, uncovering revolutionary use cases and innovative data privacy controls.

As we delve deeper, we investigate how quantum computing can revolutionize weather forecasting, leveraging optimization algorithms for long-term accuracy. Furthermore, we explore the symbiotic relationship between AI and quantum computing, uncovering how AI empowers quantum computing to achieve new heights of performance. Additionally, we discuss quantum random number generation and the establishment of quantum networks, laying the foundations for future advancements in the field.

Part 2 focuses on the critical intersection of quantum computing and security. We examine the establishment of secure quantum network communication using advanced cryptography algorithms.

In Part 3, we turn our attention to quantum computing innovations and future perspectives. We explore the exciting potential of quantum machine learning for Industry 4.0, as well as the applications of quantum computing and AI in the emerging Industry 5.0 landscape. Furthermore, we delve into the paradigm of Quantum Artificial Intelligence (QAI) and its implications for voice-controlled devices. Lastly, we examine the entrepreneurial opportunities that arise from advancements in AI-driven quantum computing, paving the way for future innovation and growth.

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