Impact Of Quantum Computing In Aerospace
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Impact of Quantum Computing in Aerospace
As the complexity of systems expands with increasing emphasis for digital transformation, the aerospace industry is generating big data to meet customer requirements. The ability to that data to solve challenging problems is limited by many factors, including the capabilities of current classical computing systems. Impact of Quantum Computing in Aerospace discusses how quantum computing systems offer (possibly quadratic to exponentially) greater computational power over classical computers. The power of quantum computing is tremendous and has many potential impacts on the aerospace industry; however, there are also many unsettled topics surrounding the future of the technology. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022014
Quantum Technologies and Military Strategy
This book is about the strategic relevance of quantum technologies. It debates the military-specific aspects of this technology. Various chapters of this book cohere around two specific themes. The first theme discusses the global pattern of ongoing civilian and military research on quantum computers, quantum cryptography, quantum communications and quantum internet. The second theme explicitly identifies the relevance of these technologies in the military domain and the possible nature of quantum technology-based weapons. This thread further debates on quantum (arms) race at a global level in general, and in the context of the USA and China, in particular. The book argues that the defence utility of these technologies is increasingly becoming obvious and is likely to change the nature of warfare in the future.
Innovative Machine Learning Applications in the Aerospace Industry
Author: Ponnada, Venkata Tulasiramu
language: en
Publisher: IGI Global
Release Date: 2025-06-17
The aerospace industry evolves with the integration of machine learning (ML) applications. From optimizing flight operations and predictive maintenance to advancing autonomous navigation and air traffic management, ML enables efficiency, safety, and performance. As aerospace systems grow more complex, ML offers the ability to analyze data in real-time, uncover hidden patterns, and support intelligent decision-making. This emerging collaboration between aerospace engineering and AI reshapes traditional practices while opening new frontiers in exploration and innovation. Innovative Machine Learning Applications in the Aerospace Industry explores the potential of machine learning applications, examining its impact on various sectors. It investigates the diverse realms of machine learning applications and their profound implications for the future. This book covers topics such as drone navigation, aerial images, and computer vision, and is a useful resource for business owners, engineers, academicians, researchers, and computer scientists.