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The paradoxical logic of transparency and mediation Transparency is the metaphor of our time. Whether in government or corporate governance, finance, technology, health or the media – it is ubiquitous today, and there is hardly a current debate that does not call for more transparency. But what does this word actually stand for and what are the consequences for the life of individuals? Can knowledge from the arts, and its play of visibility and invisibility, tell us something about the paradoxical logics of transparency and mediation? This Obscure Thing Called Transparency gathers contributions by international experts who critically assess the promises and perils of transparency today.
A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples. The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model information and its processing. Quantum computing is not about changing the physical substrate on which computation is done from classical to quantum but about changing the notion of computation itself, a...
The world is an increasingly interconnected place; in work as in life, we need a broad range of experiences to widen our knowledge, perform our best and feel most fulfilled. But in education and business there is the growing feeling that we are being led down a rabbit hole of narrow expertise, forced to specialise or shuttled into niche positions that don't make use of our wider talents. In The Mosaic Principle, Nick Lovegrove encourages us to take the broad view, showing how we can develop the mosaic of skills we need to make the most of ourselves and our careers, to the benefit of all. Drawing on more than three decades of personal experience across sectors, and examining the inspiring stories of extraordinary people, historical and contemporary, Lovegrove sets out the six dimensions of the successful generalist, skills that provide the ways and means for taking unorthodox steps to encourage us to live broader, better lives.
A bold new book reveals how we can tap the intelligence that exists beyond our brains--in our bodies, our surroundings, and our relationships Use your head. That's what we tell ourselves when facing a tricky problem or a difficult project. But a growing body of research indicates that we've got it exactly backwards. What we need to do, says acclaimed science writer Annie Murphy Paul, is think outside the brain. A host of "extra-neural" resources--the feelings and movements of our bodies, the physical spaces in which we learn and work, and the minds of those around us-- can help us focus more intently, comprehend more deeply, and create more imaginatively. The Extended Mind outlines the resea...
This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies. In summary, the book: Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects. This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.
As miniaturisation deepens, and nanotechnology and its machines become more prevalent in the real world, the need to consider using quantum mechanical concepts to perform various tasks in computation increases. Such tasks include: the teleporting of information, breaking heretofore "unbreakable" codes, communicating with messages that betray eavesdropping, and the generation of random numbers. This is the first book to apply quantum physics to the basic operations of a computer, representing the ideal vehicle for explaining the complexities of quantum mechanics to students, researchers and computer engineers, alike, as they prepare to design and create the computing and information delivery systems for the future. Both authors have solid backgrounds in the subject matter at the theoretical and more practical level. While serving as a text for senior/grad level students in computer science/physics/engineering, this book has its primary use as an up-to-date reference work in the emerging interdisciplinary field of quantum computing - the only prerequisite being knowledge of calculus and familiarity with the concept of the Turing machine.
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
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition. This volume comprises three books under one cover: Part I outline...
In 1994 Peter Shor [65] published a factoring algorithm for a quantum computer that finds the prime factors of a composite integer N more efficiently than is possible with the known algorithms for a classical com puter. Since the difficulty of the factoring problem is crucial for the se curity of a public key encryption system, interest (and funding) in quan tum computing and quantum computation suddenly blossomed. Quan tum computing had arrived. The study of the role of quantum mechanics in the theory of computa tion seems to have begun in the early 1980s with the publications of Paul Benioff [6]' [7] who considered a quantum mechanical model of computers and the computation process. A related question was discussed shortly thereafter by Richard Feynman [35] who began from a different perspec tive by asking what kind of computer should be used to simulate physics. His analysis led him to the belief that with a suitable class of "quantum machines" one could imitate any quantum system.