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Qiu D: Theoretical Foundations of
Quantum Computing

Theoretical Foundations of Quantum Computing

Advances in Reliability Science

Stochastic Modeling and Statistical Methods: Advances and Applications is the practical guide to the latest developments in data analysis and research methods. The book explores the significant research progress that has been seen in recent decades, offering vital tools for analyzing modern applications and real data. Topics covered include Dynamic Reliability, Stochastic Modeling, System Maintainability, and Parametric, Semi-Parametric, and Nonparametric Statistical Inference. Readers will find the latest advancements in these areas, making it an essential resource for researchers and practitioners who want to explore these evolving fields and stay updated on cutting-edge research.

Advances and Applications

Stochastic Modeling and Statistical Methods

Tech Today

An insightful collection of the best ways to leverage enterprise data with AI and implement powerful business solutions In Generative Analytics and AI: Transforming Data into Scalable Business Solutions, leading AI strategists Paul Golding and Geoff McGrath walk you through how to implement a comprehensive data strategy and implement real-time data science solutions in your enterprise. The book explains how to transform your company's raw data into actionable insights that drive business success. You'll learn how to transform your organization's (likely sizeable) collection of data into effective solutions that reduce expenses, raise service standards, and improve your customers' experiences. Inside the book: Strategies to implement real-time situation detection, perform fast and precise analyses, and facilitate informed decision-makingTechniques to bridge the gap between data collection and storage and the implementation of on-the-ground solutions that increase revenueWays to implement cognitive operations (CogOps) in your own enterprise, operationalizing cognitive (AI) decision-making in real-time Perfect for data engineers, data scientists, and domain subject matter experts, Generative Analytics and AI is also a must-read for product managers and technical administrators seeking a hands-on guide to turning large amounts of proprietary data into actionable insights and solutions.

Transforming Data Into Scalable Business Solutions

Generative Analytics and AI

History and Foundations of Information Science

Toward a Science of Technology-Mediated Experience

Search Foundations

Digital Transformation and Equitable Global Health: A Future-Ready Perspective presents a collective body of knowledge and global experiences that demonstrate current status and future trends in the use of exponential technologies and their potential for poverty reduction, improving health outcomes, strengthening health systems, and transforming traditional development aid structures. The book uses a translational innovation perspective to guide the reader-regardless of their area of expertise-on the rationale behind the co-creation of human-centered, affordable, and sustainable digital solutions. It addresses the interest of professionals from multiple areas (e.g., technology, health, social development, global financing), and it is a valuable resource for professionals, social scientists, practitioners, researchers, instructors, and undergraduate and graduate students interested in understanding the challenges and complexities of global public health and the applied uses of health technologies for equitable access to primary health care and universal health coverage.

A Future-Ready Perspective

Digital Transformation and Equitable Global Health

Medical Robots and Devices: New Developments and Advances

Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

Introduction to Digital Human Modeling

This book examines how writers of the Republican era (1912-1949) came to recognize and respond to "information."

Literary Encounters with Information in Modern China

Seeing Through Abstraction

Quantum Process Algebra introduces readers to the algebraic properties and laws for quantum computing. The book provides readers with all aspects of algebraic theory for quantum computing, including the basis of semantics and axiomatization for quantum computing. With the assumption of a quantum system, readers will learn to solve the modelling of the three main components in a quantum system: unitary operator, quantum measurement, and quantum entanglement, with full support of quantum and classical computing in closed systems. Next, the book establishes the relationship between probabilistic quantum bisimilarity and classical probabilistic bisimilarity, including strong probabilistic bisimilarity and weak probabilistic bisimilarity, which makes an axiomatization of quantum processes possible. With this framework, quantum and classical computing mixed processes are unified with the same structured operational semantics. Finally, the book establishes a series of axiomatizations of quantum process algebras. These process algebras support nearly all main computation properties. Quantum and classical computing in closed quantum systems are unified with the same equational logic and the same structured operational semantics under the framework of ACP-like probabilistic process algebra. This unification means that the mathematics in the book can be used widely for verification of quantum and classical computing mixed systems, for example, most quantum communication protocols. ACP-like axiomatization also inherits the advantages of ACP, for example, and modularity means that it can be extended in an elegant way.

Quantum Process Algebra

Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques. Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

Quantum Communication and Cryptography

This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and connections to real-world applications in controlled sensing, keeping technical machinery to a minimum. The new edition includes inverse reinforcement learning, non-parametric Bayesian inference, variational Bayes and conformal prediction.

Filtering, Learning and Controlled Sensing

Partially Observed Markov Decision Processes

Linear Cryptanalysis

The phenomenal international and Sunday Times bestseller from the author of SapiensStories brought us together. Books spread our ideas - and our mythologies. The internet promised infinite knowledge. The algorithm learned our secrets - and then turned us against each other. What will AI do?Nexus is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive - and to thrive. PRAISE FOR NEXUS'One of the most remarkable intellects of our generation' RORY STEWART'Tremendous, thought-provoking and so very well-reasoned . . . If there is one book that I would urge everyone to read - it is Nexus' STEPHEN FRY'A wake-up call in the gentlest, most urgent way' YOTAM OTTOLENGHI'This deeply important book comes at a critical time as we all think through the implications of AI' MUSTAFA SULEYMAN'A super narrative writer' GUARDIAN'[Harari] sticks the world together in a gleaming shape that inspires and excites' TELEGRAPHPRAISE FOR YUVAL NOAH HARARI'The great thinker of our age' THE TIMES'Interesting and provocative' BARACK OBAMA'One of my favourite writers and thinkers' NATALIE PORTMAN

A Brief History of Information Networks from the Stone Age to AI

Nexus

Cutting-Edge Artificial Intelligence Advances and Implications in Real-World Applications

Theoretical Foundations of Quantum Computing

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