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  • Authors: Hughes, Ciaran;  Advisor: -;  Co-Author: - (2021)

    This open access book makes quantum computing more accessible than ever before. A fast-growing field at the intersection of physics and computer science, quantum computing promises to have revolutionary capabilities far surpassing “classical” computation. Getting a grip on the science behind the hype can be tough: at its heart lies quantum mechanics, whose enigmatic concepts can be imposing for the novice. This classroom-tested textbook uses simple language, minimal math, and plenty of examples to explain the three key principles behind quantum computers: superposition, quantum measurement, and entanglement. It then goes on to explain how this quantum world opens up a whole new paradigm of computing. The book bridges the gap between popular science articles and advanced text...

  • Authors: Bjørn, Pernille; Blanco, Maria Menendez; Borsotti, Valeria;  Advisor: -;  Co-Author: - (2023)

    This is an open access book that covers the complete set of experiences and results of the FemTech.dk research which we have had conducted between 2016-2021 – from initiate idea to societal communication. Diversity in Computer Science: Design Artefacts for Equity and Inclusion presents and documents the principles, results, and learnings behind the research initiative FemTech.dk, which was created in 2016 and continues today as an important part of the Department of Computer Science at the University of Copenhagen’s strategic development for years to come. FemTech.dk was created in 2016 to engage with research within gender and diversity and to explore the role of gender equity as part of digital technology design and development. FemTech.dk considers how and why computer science ...

  • Authors: Avoine, Gildas; Castro, Julio Hernandez;  Advisor: -;  Co-Author: - (2021)

    The chapters in this open access book arise out of the EU Cost Action project Cryptacus, the objective of which was to improve and adapt existent cryptanalysis methodologies and tools to the ubiquitous computing framework. The cryptanalysis implemented lies along four axes: cryptographic models, cryptanalysis of building blocks, hardware and software security engineering, and security assessment of real-world systems. The authors are top-class researchers in security and cryptography, and the contributions are of value to researchers and practitioners in these domains.

  • Authors: Exman, Iaakov; Pérez-Castillo, Ricardo; Piattini, Mario; Felderer, Michael;  Advisor: -;  Co-Author: - (2024)

    This open access book explains the state of the art in quantum software engineering and design, independent from a specific hardware. It deals with quantum software theoretical aspects and with classical software engineering concepts like agile development approaches, validation, measurement, and deployment applied in a quantum or hybrid environment, and is complemented by a number of various industry applications. After an introductory chapter overviewing the contents of the subsequent chapters, the book is composed of three parts. It starts with a theoretical part on quantum software, as a bold declaration that quantum software theory is deep and valuable independent from the existence of specific quantum hardware. It is based upon the claim that quantum software is the more ge...

  • Authors: Chen, Yi; Huang, Long;  Advisor: -;  Co-Author: - (2025)

    This open access book presents a comprehensive guide to MATLAB programming, catering to students, engineers, and researchers seeking to harness MATLAB as a powerful tool for their work. The text meticulously covers fundamental concepts, progressing from basic elements such as types and operators to more complex structures like arrays and matrices. It elucidates key programming constructs including selection statements, loop structures, scripts, and functions, providing readers with a solid foundation in MATLAB programming. The book's structure is carefully crafted to facilitate step-by-step learning, with each chapter building upon previous knowledge. Abundant examples and exercises reinforce understanding, while dedicated sections on data visualisation, algorithm development, an...

  • Authors: Schulz, Daniel; Bauckhage, Christian;  Advisor: -;  Co-Author: - (2025)

    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is intended for those interested in modern informed machine learning for a wide range of practical applications where the aspect of small data sets is a challenge. Machine Learning with small amounts of data? After the recent success of Artificial Intelligence based on training with massive amounts of data, this idea may sound exotic. However, it addresses crucial needs of practitioners in industr...

  • Authors: Kucharavy, Andrei; Plancherel, Octave; Mulder, Valentin; Mermoud, Alain; Lenders, Vincent;  Advisor: -;  Co-Author: - (2024)

    This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the developm...

  • Authors: Muff, Fabian;  Advisor: -;  Co-Author: - (2025)

    This open access book which is based on the author’s dissertation in 2024 explores the challenges of metamodeling in the context of extended reality and emphasizes the need for new concepts in metamodeling to effectively combine it with extended reality technologies. The central question of this work is how metamodeling can be used “in” and “for” extended reality. The book is structured in nine chapters: Chapter 1 introduces the topic by providing background information and outlining the research objectives, questions, methodology and structure. Chapter 2 delves into the existing literature and developments in the field. It covers various aspects of modeling, such as conceptual, enterprise, and metamodeling, as well as extended reality (XR), virtual reality (VR), augmented realit...