Rajendra K. Bera – författare

This book discusses the application of quantum mechanics to computing. It explains the fundamental concepts of quantum mechanics and then goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring quantum systems, comparison to classical mechanics, quantum gates, and important algorithms in quantum computing are among the topics covered.The book offers a valuable resource for graduate and senior undergraduate students in STEM (science, technology, engineering, and mathematics) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with Fourier analysis.

This book discusses the application of quantum mechanics to computing. It explains the fundamental concepts of quantum mechanics and then goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring quantum systems, comparison to classical mechanics, quantum gates, and important algorithms in quantum computing are among the topics covered.The book offers a valuable resource for graduate and senior undergraduate students in STEM (science, technology, engineering, and mathematics) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with Fourier analysis.

This book emphasizes the rising need for people to have a basic understanding of science and technology and the emphatic role they can play in shaping the AI-driven future, especially in terms of creating sustainable societies with growing job opportunities. This book highlights why a smoothly functioning society will require, but does not yet possess in critical numbers, policymakers, senior managers, government officials, and those entering the high-end of the AI-driven job market who have a shared vision and a shared understanding of how science shapes the future of sustainable societies.This book makes the case that the destiny of Homo sapiens is not just about evolutionary biology but increasingly about evolutionary knowledge. This book describes the web of knowledge where scientific theories appear as intellectual constructs, which lead to new knowledge that open opportunities for gainful human employment for the well-educated while eliminating jobsfor the less-educated by advancing AI in a predator–prey adversarial model (the logistic map), thus raising livelihood concerns across wide swathes of human population.This inevitably leads to the question, “How should intellectual property rights, especially patents, be granted and protected when AI becomes advanced enough to invent without human intervention?” To answer this question, lawmakers, policymakers, managers, government officials, judiciary, enforcement agencies, etc., must have sufficient knowledge of how scientific theories impact modern society. After reading this book, the reader will be able to find answers to the following questions:•How do scientific theories impact modern society?•What is the intellectual base on which science and technology policies are founded?•Why do individuals across a population need to possess scientific knowledge?•What are the rising concerns of peoplein finding sustainable employment in an AI-driven world?•What is the compelling need to understand the role of patentable inventions in a world where intellectual property is wealth?