Generative AI and Quantum Computing: A Practical Guide

Author:   Anand Vemula
Publisher:   Independently Published
ISBN:  

9798329495591


Pages:   76
Publication Date:   26 June 2024
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Generative AI and Quantum Computing: A Practical Guide


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Overview

"""Generative AI and Quantum Computing: A Practical Guide"" provides a comprehensive and accessible introduction to two of the most transformative technologies of our time. This book bridges the gap between the theoretical foundations and practical implementations of generative AI and quantum computing, making it an essential resource for students, researchers, and professionals in the field. Part I: Foundations starts with an overview of generative AI, exploring its applications, impact, and historical context. It then delves into the basics of quantum computing, covering fundamental concepts such as quantum mechanics, quantum bits, and quantum gates. The section also explains various types of generative models, their mathematical foundations, and key algorithms. Part II: Quantum Computing Algorithms discusses the quantum algorithms that have the potential to accelerate AI, including Shor's Algorithm and Grover's Algorithm. It provides detailed examples, use cases, and hands-on exercises to illustrate how these algorithms work and their practical applications. Part III: Bridging Generative AI and Quantum Computing explores the synergy between these technologies. It covers quantum-enhanced machine learning, quantum generative models, and hybrid quantum-classical systems. The section includes real-world case studies and performance evaluations to demonstrate the benefits and challenges of integrating quantum computing with AI. Part IV: Practical Implementation and Future Directions focuses on the practical aspects of quantum programming. It offers step-by-step implementations, practical coding examples, and explores tools and libraries such as Qiskit, Cirq, and PyQuil. The book also discusses the ethical and social implications of quantum AI, addressing concerns such as data privacy, algorithmic bias, and the societal impact. Finally, it looks at emerging trends, long-term prospects, and the vision for the future of generative AI and quantum computing. This guide is packed with tutorials, code examples, and hands-on exercises, making it a valuable resource for anyone looking to understand and apply these cutting-edge technologies. Whether you are a beginner or an advanced practitioner, this book will help you navigate the exciting landscape of generative AI and quantum computing."

Full Product Details

Author:   Anand Vemula
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 0.40cm , Length: 22.90cm
Weight:   0.113kg
ISBN:  

9798329495591


Pages:   76
Publication Date:   26 June 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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