Prepare for the coming convergence of AI and quantum computing A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you’ll discover that we’re on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you’ll also find: Explorations of the increasing pace of technological development Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner Maps to navigate the potential minefields that await us as AI and quantum computing come together A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.

Artificial Intelligence, Blockchain and quantum computing are emerging technologies that are redefining various aspects of our daily lives. These technologies have the potential to revolutionize industry, optimize efficiency and address complex problems that were previously unimaginable. Over the years, there has been a significant increase in research and development in these fields, leading to remarkable discoveries and breakthroughs. These technologies are interconnected in many ways, and each complements and enhances the others. The book delves into the current status and future prospects of these technologies, their impact on different sectors and the challenges they present. AI, for example, has been a topic of interest for decades, but recent advances have taken its development to a new level, enabling machines to mimic human cognitive processes. Blockchain, on the other hand, popularized by cryptocurrencies such as Bitcoin, goes beyond digital currency, offering transparency and security in transactions. Quantum computing, although in its early stages, promises to perform complex calculations at astonishing speeds. However, along with their benefits, these technologies also pose ethical and technical challenges. The book highlights the importance of interdisciplinary collaboration and continued research to fully unlock the transformative potential of AI, Blockchain and quantum computing.

This paper explores the unifying expression of The Internet of Things (IoT), unlocking: predictive modeling, artificial intelligence (AI), and quantum computing in the realm of professional baseball. With the advent of Qiskit 1.0 and the rise of utility-scale quantum computing, there exists an unprecedented opportunity to revolutionize the way we analyze and forecast baseball outcomes. By integrating game theory principles and leveraging the computational power of quantum computers, teams can dynamically forecast paths to winning World Championships. This paper delves into the theoretical foundations, practical applications, and future prospects of this groundbreaking approach.

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past of BC through the history of Bitcoin and then looks into the future: from massive internet-of-things (IoT) deployments, to the so-called metaverse, and to the next generation of AI-powered BC-based cyber secured applications.

This book provides a comprehensive account of Chinese AI in its various facets, based on primary Chinese-language sources. China’s rise as an AI power is an event of importance to the world and a potential challenge to liberal democracies. Filling a gap in the literature, this volume is fully documented, data-driven, and presented in a scholarly format suitable for citation and for supporting downstream research, while also remaining accessible to laypersons. It brings together 15 recognized international experts to present a full treatment of Chinese artificial intelligence. The volume contains chapters on state, commercial, and foreign sources of China’s AI power; China’s AI talent, scholarship, and global standing; the impact of AI on China’s development of cutting-edge disciplines; China’s use of AI in military, cyber, and surveillance applications; AI safety, threat mitigation, and the technology’s likely trajectory. The book ends with recommendations drawn from the authors’ interactions with policymakers and specialists worldwide, aimed at encouraging AI’s healthy development in China and preparing the rest of the world to engage with it. This book will be of much interest to students of Chinese politics, science and technology studies, security studies and international relations.

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.

Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.

Digital transformation continues to create new growth opportunities for businesses and improve the lives of citizens. To help businesses seize these opportunities, the Infocomm Media Development Authority (IMDA) launched the Digital Economy Framework for Action in 2018. This living document aims to enhance Singapore's digital competitiveness and become a global node in Asia.As part of Singapore's push for a Digital Economy, IMDA and the Singapore University of Social Sciences have collaborated to jointly publish the Artificial Intelligence, Data and Blockchain in a Digital Economy, First Edition. This book explains how frontier technologies such as blockchain and artificial intelligence can empower Singapore's digital transformation. It also highlights and provides insights on transformative services and how frontier technology can impact the nation's digitalisation journey.