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Chuck Easttom
Hardware for Quantum Computing

This book covers extensively the physical implementation of qubits and quantum architecture. The author demonstrates how quantum computing is implemented by the underlying physical implementation of qubit…

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Florian Scheck, Nikolaos A. Papadopoulos
Linear Algebra for Physics

This textbook provides a full treatment of Linear Algebra devoted to undergraduate and graduate physics students. Although the mathematical level is similar to the corresponding mathematical textbooks in …

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James Reilly
Fundamentals of Linear Algebra for Signal Processing

Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and presents linear algebra, which is requisite knowledge in these f…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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Quantum Computing for Healthcare Data

Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computin…

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Daniele Cuomo
Architectures and Circuits for Distributed Quantum Computing

This thesis treats networks providing quantum computation based on distributed paradigms. Compared to architectures relying on one processor, a network promises to be more scalable and less fault-prone. D…

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Hiu Yung Wong
Quantum Computing Architecture and Hardware for Engineers

The purpose of this book is to teach quantum computing hardware from an engineer's perspective. Engineers play an important role in quantum computers. However, college and graduate engineering students us…

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Quantum Computing Models for Cybersecurity and Wireless Communications

The book explores the latest quantum computing research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, artificial intelligence-based devices, comput…

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Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

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Nimish Shah, Marian Verhelst, Wannes Meert
Efficient Execution of Irregular Dataflow Graphs

This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimi…

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Chuck Brooks
Inside Cyber

A FASCINATING EXPLORATION OF THE IMPACT OF THE LATEST TECH ON MODERN COMMERCE In Inside Cyber: How AI, 5G, IoT, and Quantum Computing Will Transform Privacy and Our Security, author Chuck Brooks, a distin…

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