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The emergence of quantum computing suggests limitless possibilities in chemistry, material science, simulations to predict outcomes, and other areas. But even if sufficiently good quantum hardware is built, are there algorithms that can leverage the laws of quantum mechanics to solve difficult problems?
AbstractThis paper intends to contribute to the emerging literature on the ethical problems posed by quantum computing and quantum technologies in general. The key ethical questions are as follows: Does quantum computing pose new ethical problems, or are those raised by quantum computing just a different version of the same ethical problems raised by other technologies, such as nanotechnologies, nuclear plants, or cloud computing? In other words, what is new in quantum computing from an ethical point of view? The paper aims to answer these two questions by (a) developing an analysis of the existing literature on the ethical and social aspects of quantum computing and (b) identifying and analyzing the main ethical problems posed by quantum computing. The conclusion is that quantum computing poses completely new ethical issues that require new conceptual tools and methods.
https://qute.ctic.es/ QUTE is built on top of ISAAC, a supercomputer funded by the European Union through the European Regional Development Fund, and the Principality of Asturias, Spain, through the Plan de Ciencia, Tecnología e Innovación 2018-2022.
Eine dauerhafte Verfügbarkeit ist nicht garantiert und liegt vollumfänglich in den Händen der Herausgeber:innen. Bitte erstellen Sie sich selbständig eine Kopie falls Sie diese Quelle zitieren möchten.
"The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers."--
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